2016 IEEE International Conference on Signal
Processing, Communications and Computing
ICSPCC 2016
August 5-8, 2016
City University of Hong Kong, China
Co-sponsor by
City University of Hong Kong
Northwestern Polytechnical University
IEEE Hong Kong Section
IEEE Xi’an Section.
ICSPCC 2016 Conference Organizing Committee
Conference General Co-Chairs
Quan XUE, City University of Hong Kong, Hong Kong
Vijay K. BHARGARA, University of British Columbia, Canada
Jianguo HUANG, Northwestern Polytechnical University
International Advisory Committee
P C CHING (HK)
Tariq DURRANI (UK)
David FENG (Australia)
Toshio FUKUda (Japan)
B H JUANG (USA)
Alex C KOT (Singapore)
Mos KAVEH (USA)
K.J. Ray LIU (USA)
K.M. LUK (HK)
ZHI-Quan LUO (USA)
Wan-Chi SIU (HK)
Lawrence WONG (Singapore)
Technical Program Co-Chairs
Jiandong LI, Xidian University
Jingdong CHEN, Northwestern Polytechnical University
Teng Long, Beijing Institute of Technology
Bonnie LAW, The Hong Kong Polytechnic University
George LAU, Hong Kong Open University
Ray CHEUNG, City University of Hong Kong
ICSPCC 2016 Conference Organizing Committee
Program Track Chair
Bo LI, Northwestern Polytechnical University
Peter Tam, IEEE HK Section
Youming Li, Ningbo University
Chaio Wang, Shanghai University
Xiaomei XU, Xiamen University
Zhiwen YU, Northwestern Polytechnical University
Local Arrangement Chair
Ricky LAU, City University of Hong Kong
Special Session Chair
Liuqing YANG, University of Florida
Qunfei ZHANG, Northwestern Polytechnical University
Shefeng YAN, CAS
Publication Chair
Edward CHEUNG, The Hong Kong Polytechnic University
Jing HAN, Northwestern Polytechnical University
Publicity Chair
He XIANG, Northwestern Polytechnical University
Registration Chair
Y. W. LIU, IEEE Hong Kong Section
Finance Co-Chairs
Chengbing HE, Northwestern Polytechnical University
Y. W. LIU, IEEE Hong Kong Section
Secretary
Wentao SHI, Northwestern Polytechnical University
WELCOME FROM THE CONFERENCE CO-CHAIRS
On behalf of the Conference Organizing Committee, we would like to welcome
you taking part in the 2016 IEEE International Conference on Signal Processing,
Communications and Computing (ICSPCC2016). The conference starts from
August 5 to August 9, 2016, in the City University of Hongkong.
The goal of ICSPCC2016 is to bring together leading engineers, researchers and
academics from the world to discuss novel ideas, theories, technologies and
applications in the areas of signal processing, communications and computing. It
also aims to provide a stimulating forum for scholars, engineers, and students
from all over the world to discuss research achievements.
ICSPCC 2016 is co-sponsored City University of Hong Kong, Northwestern
Polytechnical University IEEE Hong Kong Section, IEEE Xi’an Section. It is also
supported by Xidian University, Xi’an Jiaotong University, Ningbo University,
the Chinese University of Hong Kong, The University of Hong Kong, the Hong
Kong Polytechnic University.
This is the 6th conference of this conference series, after the 1st conference in
Xi'an, 2nd conference in Hong Kong, 3rd conference in Kunming, the 4th
conference in Guilin and the 5th conference in Ningbo. We believe that with
frequent academic exchanges, the collaboration can be strengthened among IEEE
members of the Xi’an and Hong Kong Sections and visitors coming from
different regions and countries.
We are very thankful to all keynote speakers, invited speakers, session chairs,
reviewers and authors, for their indispensable contributions to the technical
sections of the conference.
We hope that you will find the ICSPCC 2016 enjoyable in Hong Kong.
General Co-Chairs:
Quan XUE, City University of HK
Vijay K. BHARGAVA, University of British Columbia, Canada
Jianguo HUANG, Northwestern Polytechnical University, Xian
WELCOME FROM THE TECHNICAL CO-CHAIRS
We have prepared a rich technical program that spans numerous topics in the field
of Signal Processing, Communications and Computing.
The conference will feature prominent plenary speakers as well as technical
sessions. The technical program is composed Tutorial on Challenges in
Millimeter-wave Communications, two Invited Talks on Underwater signal
processing and Communications, regular sessions and visits to the State Key Lab
and Multimedia Center of City University . This year, all papers are presented in
oral. We will have two distinguished keynote speakers who will present their
most recent results and developments in their respective research areas.
The conference received a total of 320 paper submission from more than 10
countries. The total number of papers accepted and included in the proceedings is
168. For reviewing of the papers, we relied on the help of the members of the
Technical Program Committee as well as other invited experts. All the accepted
papers were categorized into 13 sessions.
We are honoured to have two renowned keynote speakers in this conference. The
keynote speakers’ titles are “Advances in Wireless communications: With
Application to Internet of Things” by Prof. Vijay Bhargava, “High-level
Architecture for Co-simulation of Power Grids Information Systems and
Communication Networks” by Prof. Henry Chung.
We also co-organize the the IEEE R10 Distinguish Paper Competition and have
the final round Presentation Session where winners will be selected and
Certificates will be presented in the Conference Banquet.
Finally, we would like to thank all of the members of the Technical Program
Committee for their great jobs, and all reviewers outside of the committee.
Please enjoy the conference, and enjoy Hongkong. Thanks!
Technical Co-Chairs:
Bonnie Law, the Hong Kong Polytechnic University
Ray Cheung, City University of Hong Kong
George LAU, Hong Kong Open University
Jiandong Li, Xidian University
Jingdong Chen, Northwestern Polytechnical University
Teng Long, Beijing Institute of Technology
Schedule at a Glance
Friday, August 5, 2016
1300-1800
Registration - Foyer, 2/F, AC2, CityU
Tutorial - AC2 2513
Tutorial - “Challenges in Millimeter-wave
1400-1800
Communications-----Secrets of Antennas and Integrated
Circuits” by Hang Wong and Wu Liang,
City University of
Hong Kong
1800-2030
Welcome Reception - Foyer, 2/F, AC2, CityU
Saturday, August 6, 2016
0830-1830
0930-1000
Registration - Foyer, 2/F, AC2, CityU
Opening Ceremony
- LT 2510, 2/F, AC2, CityU
Keynote Speech 1
1000-1045
-
AC2 LT 2510
Keynote Speech 1 - "Advances in Wireless Communications:
With Application to Internet of Things" by Vijay Bhargava,
University of British Columbia in Vancouver
1045-1115
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
Keynote Speech 2
-
AC2 LT 2510
Keynote Speech 2 - "High-level Architecture for
1115-1200
Co-simulation of Power Grids, Information Systems and
Communication Networks" by Henry Chung, City University
of Hong Kong
1210-1330
Lunch break
Room
AC2 2312
1330-1500
SPG01
1500-1530
1530-1700
AC2 2513
Invited Talk 1
/SPX1
AC2 2306
AC22310
COM01
DPAP
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
SPG01
SPX1
COM02
DPAP
Sunday, August 7, 2016
0830-1700
Registration - Foyer, 2/F, AC2, CityU
Room
AC2 2312
0900-1030
SPG02
1030-1100
1100-1230
AC2 2513
Invited Talk2
SPX1
1500-1530
1530-1700
AC22310
COM03
CPT01
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
SPG02
SPX1
1230-1330
1330-1500
AC2 2306
COM03
CPT02
Lunch break
SPG02
SPX2
COM03
CPT03
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
SPG03
SPX2
Conference Banquet
SPX2
CPT03
& R10 Distinguish Student Papers
Competition Award Presentation
1830-2030
Chinese Restaurant, Communal Building, 8/F, CityU
Monday, August 8, 2016
0830-1200
Registration - Foyer, 2/F, AC2, CityU
Room
AC2 2312
AC2 2513
0900-1030
SPG03
SPG05
1030-1100
1100-1230
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
SPG04
1230-1330
SPG05
Lunch break
Visit to CityU State Key
1330-1500
SPG04
SPG01
Laboratory of Millimeter
Waves
1500-1530
1530-1700
Coffee/Tea Break - Foyer, 2/F, AC2, CityU
SPG04
SPG01
Visit to CityU Multimedia
Center
Technical Sessions
COM01 Communications Technique & Interest
COM02 Signal Processing and Communications
COM03 Wireless communications and networks
CPT01 General Computing Interest
CPT02 Information and data security
CPT03 Embedded system design
DSPCR10 Distinguish Paper Presentation
SPG01 Signal Processing Technique and Interest
SPG02 Radar and sonar systems
SPG03 Sensor array and multi-channel
SPG04 Detection, estimation and classification
SPX1- Underwater signal processing and Communications
SPX2- Fractional signal Processing
Conference Keynote 1
Advances in Wireless Communications: With Application to Internet of Things
By Professor Vijay K. Bhargava, University of British Columbia, Canada
Abstract
By the year 2022, wireless networks are expected to provide a new paradigm over the
existing networks. The requirements include: 10,000 times increase in traffic data,
10-100 times more devices, low latency in the order of 1msec, more uniform
coverage providing a minimum of 1Gbps for every user, flexible operation in
different radio access technologies, reliable end-to-end performance, low cost and
energy efficient design. For this to happen significant advances are needed in signal
processing, communications and computing. In this presentation, firstly we present
energy-efficient designs for multi-tier heterogeneous networks including cell
association, resource allocation and wireless backhaul bandwidth allocation. Then we
present an overview of several interconnected research topics such as millimeter
wave (mmWave), and massive multiple-input-multiple-output (MIMO)
communications, sustainable hybrid cloud based radio access network (C_RAN)
architecture with software-defined network (SDN), full duplex radios for improved
radio spectrum efficiency and device-to-device communication systems. The talk
concludes with an application of these technologies to Internet of Things (IOT) and
the challenge presented by a trillion “connected” devices by 2022.
Biography
Vijay K. Bhargava (S'70, M'74, SM'82, F'92, LF'13) was born in Beawar, India in
1948. He came to Canada in 1966 and obtained BASc, MASc and PhD degrees from
Queen’s University at Kingston in 1970, 1972 and 1974 respectively. He is a
Professor in the Department of Electrical and Computer Engineering at the University
of British Columbia in Vancouver, where he served as Department Head during
2003-2008. Previously he was with the University of Victoria (1984-2003),
Concordia University (1976-1984), the University of Waterloo (1976) and the Indian
Institute of Science (1974-1975). He has held visiting appointments at Ecole
Polytechnique de Montréal, NTT Research Lab, Tokyo Institute of Technology, the
University of Indonesia, the Hong Kong University of Science and Technology, and
Tohoku University. He is an Honourary Professor at UESTC, Chengdu and a Gandhi
Distinguished Professor at IIT Bombay. For the academic year 2015-2016, he is on
sabbatical leave at the Friedrich Alexander University (FAU), Erlangen, Germany. He
is in the Institute for Scientific Information (ISI) Highly Cited list.
Vijay served as the Founder and President of "Binary Communications Inc."
(1983-2000). He is a co-author (with D. Haccoun, R. Matyas and P. Nuspl) of
"Digital Communications by Satellite" (New York: Wiley: 1981) which was
translated in Chinese and Japanese. He is a co-editor (with S. Wicker) of "Reed
Solomon Codes and their Applications" (IEEE Press: 1994), a co-editor (with H.V.
Poor, V. Tarokh and S. Yoon) of "Communications, Information and Network
Security" (Kluwer: 2003) a co-editor (with E. Hossain) of "Cognitive Wireless
Communication Networks" (Springer: 2007), a co-editor (with E. Hossain and D.I
Kim) of “Cooperative Wireless Communications Networks”, (Cambridge University
Press: 2011) and a co-editor (with E. Hossain and G. Fettweis) of “Green Radio
Communications Networks” (Cambridge University Press 2012).
Vijay is a Fellow of the IEEE, The Royal Society of Canada, The Canadian Academy
of Engineering and the Engineering Institute of Canada. He is a Foreign Fellow of the
National Academy of Engineering (India) and has served as a Distinguished Visiting
Fellow of the Royal Academy of Engineering (U.K.). He has received awards for his
teaching, research and service to the IEEE. The latest awards are the Killam Prize in
Engineering and the Humboldt Research Prize.
Vijay has served on the Board of Governors of the IEEE Information Theory Society
and the IEEE Communications Society. He has held important positions in these
societies. He has served as an Associate Editor of the IEEE Transactions on
Communications. He played a major role in the creation of the IEEE
Communications and Networking Conference (WCNC) and IEEE Transactions on
Wireless Communications, for which he served as the editor-in-chief (2007-2009).
He is a past President of the IEEE Information Theory Society and a Past President of
the IEEE Communications Society.
Conference Keynote 2
High-level Architecture for Co-simulation of Power Grids, Information
Systems and Communication Networks
By Henry Chung, City University of Hong Kong
Biography
Professor Henry Shu-hung Chung received the B.Eng. degree and the Ph.D
degree in electrical engineering both from The Hong Kong Polytechnic
University, Hong Kong, in 1991 and 1994 respectively. Since 1995 he has been
with the City University of Hong Kong. He is currently professor of the
Department of Electronic Engineering and Director of the Centre for Smart
Energy Conversion and Utilization Research, City University of Hong Kong.
He is Fellow of Institute of Electrical and Electronics Engineers (IEEE). His
research interests include renewable energy conversion technologies, lighting
technologies, and smart grid technologies. He is currently Editor-in chief of the
IEEE Power Electronics Letters, and Associate Editor of the IEEE Transactions
on Power Electronics, IEEE Transactions on Circuits and Systems, Part I:
Fundamental Theory and Applications, and IEEE Journal of Emerging and
Selected Topics in Power Electronics. He has received numerous industrial
awards for his invented energy saving technologies.
Abstract
In the coming decades, our planet is gradually inclined towards urban living.
We shall witness the building and rebuilding of hundreds of new cities,
transportation infrastructures, and hundreds of thousands of kilometers of
highways and railway tracks to cope with this growing population. It is thus
important to recognize the importance of working responsibly to maintain the
veracity of the ecosystem. We have to prepare infrastructure and transportation
networks for the future. Today’s electrical networks are moving towards smart
grids - intelligent infrastructures using computer-based remote monitoring,
control, and automation. These innovative systems enable real-time, two-way
management of electricity and information. They offer many benefits to
enhance energy efficiency on the electricity grid and in the users. This
innovative technology also allows for better integration of renewable energies and
more efficient electrical transmission across the whole energy grid.
The speaker will present a co-simulator that can be used to study various
scenarios of smart grids – an integration of power grids, information systems, and
communication networks, such as how vehicle-to-grid with different kinds of
communication networks can help stabilize the operation of the power grid under
a fault condition. The framework of the co-simulator adopts the IEEE 1516
High-Level Architecture.
Tutorial
Challenges in Millimeter-wave Communications: Secrets of Antennas and
Integrated Circuits
by Hang WONG & Liang WU, City University of Hong Kong
Abstract
Two speakers will give an intensive tutorial on developing of millimeter-wave
communication systems. The first part by Dr. Wong will introduce a new antenna
technology for high frequency antenna development and realization for recent
fast-speed communication systems in millimeter-wave spectrum. The content of
this talk includes linearly-polarized and circularly-polarized antenna designs with
the help of 3D printing technology to develop low-cost, wideband, and high-gain
directional beam antennas. This talk exhibits how to combine the conventional
and the newly-developed fabrication technologies into the antenna designs. One
of examples, a 3D printed polarizer is placed above a radiating aperture operating
at the centre frequency of 60 GHz. The proposed antenna with the polarizer
achieves a wide impedance bandwidth of 50% from 45 to 75 GHz for the
reflection coefficient  -10 dB, and yields an overlapped axial ratio bandwidth of
30% from 49 to 67 GHz for the axial ratio  3 dB. The proposed methodology of
this design can apply to applications related to millimeter-wave wireless
communication systems.
The second part given by Dr. Wu will talk about CMOS millimeter-wave
integrated circuits. Considering its critical role in wireless transceivers, the
frequency generation will be the focus. At first, the design challenges in
achieving all required performance aspects in terms of high oscillation frequency,
wide frequency range, good phase noise and low power consumption will be
highlighted. Afterwards, the design and analysis of high-frequency VCOs and
frequency dividers will be discussed. Both conventional architectures and
state-of-the-art advancements will be covered, with particular attention to some
novel techniques. In this session, a typical circuit design approach started from
intuitive understanding, theoretical analysis, preliminary verification, to prototype
implementation will be followed.
Biography
Hang WONG received the B.Eng., M.Phil., and Ph.D. degrees in electronic
engineering from City University of Hong Kong in 1999, 2002 and 2006,
respectively. He was an acting assistant professor in the Department of Electrical
Engineering, Stanford University, in 2011. He joined the Department of
Electronic Engineering as an assistant professor at City University of Hong Kong
in 2012. He had several visiting professorships at University of Waterloo; Canada,
University of College London, UK; and University of Limoges, France in the
years of 2013, 2014, and 2015 respectively. His research interests include design
of broadband antennas, small antennas, millimeter wave antennas, 3D printed
antenna and related applications. He was the chair of the IEEE Hong Kong
Section of the Antennas and Propagation (AP)/Microwave Theory and
Techniques (MTT) Chapter from 2011 to 2014. He is recently appointed as the
IEEE APS Region-10 Representative. He is an associate editor of IEEE AWPL,
Antennas and Wireless Propagation Letters, since 2012. Dr. Wong received
2011 State Technology Invention Award 國家科學技術發明獎 presented by the
Ministry of Science and Technology of the P.R. China with Professors Kwai-Man
Luk, Chi-Hou Chan, and Quan Xue for their contributions of wideband patch
antenna developments and applications.
Liang WU received the B.S. and M.S. degrees in Materials Science from Fudan
University, China, in 2004 and 2007 respectively, and the Ph.D. degree in
Electronic and Computer Engineering from the Hong Kong University of Science
and Technology in 2012. From 2013 to 2015, he was with the Department of
Electronic and Computer Engineering at the Hong Kong University of Science
and Technology as a research assistant professor and the deputy director of
HKUST-Qualcomm Joint Innovation and Research Lab. Since November 2015,
he joined the State Key Laboratory of Millimeter Waves at City University of
Hong Kong as a senior research fellow. His current research interests include
CMOS RF / millimeter-wave integrated circuits for wireless transceivers,
mixed-signal visible light communication system-on-a-chip (SoC).
Special Session Invited Talk 1
August 6, Saturday, 1330-1700, Room AC2 2513
Effects of Uncertain Ocean Environments on Underwater Acoustic
Communication Systems
Speaker: Xiaomei Xu, College of Ocean and Earth, Xiamen University
Biography
Xiaomei Xu is now a Professor of Marine Physics, Xiamen University and is the
director of the Apartment of Applied Marine Physics and Engineering. She is
Committee Member of the Chinese Society of Oceanography (Marine Physics
Branch). Dr. Xu has authored and coauthored over 100 journal publications. The
courses she teaches include Fundamentals of Acoustics, The principles of
underwater sound and Introduction to Marine Technology.
She received the B.S. degree in marine physics in 1982, the M.S. degree in
Underwater Telemetry and Remote Control in 1988, and the Ph.D. degree in
underwater acoustic communication in 2002, all from Xiamen University, China.
Since 1982, Dr. Xu has immersed herself in the researches in the fields of marine
acoustics, underwater acoustic communication. Dr. Xu also authored two books
titled Introduction to Marine Technology and Fundamentals of Acoustics.
Abstract
Uncertain ocean environmental events such as surface winds, waves,
rainfalls and typhoons, etc, cause sea surface roughness and water column
variation, that change the coherence of acoustic signals, affect multipath structure
(amplitude and arrival time), phase shifts and Doppler spreads, and increase
ocean ambient noise, so they can severely influence the performance of
underwater acoustic communication systems. How to overcome these
environmental uncertainties to achieve more reliable communications is a key
research question for current underwater acoustic communications.
Next-generation underwater acoustic communications require a better
understanding of nature ocean environments and a smarter design of adaptive
communication systems. Here, we review some previous studies that explore the
link between ocean environmental uncertainties and underwater acoustic
communication channels, as well as some potential techniques that can cope with
these environmental uncertainties for enhanced underwater acoustic
communication systems. Furthermore, we present some preliminary results about
the influence of surface winds, as the only environmental uncertainty, on
underwater acoustic communications with numerical modeling and laboratory
measurements. We suggest that the uncertainties of ocean environments play a
crucial role in the performance of underwater acoustic communications, and
should be considered when designing future reliable, adaptive underwater
acoustic communications systems.
Special Session Invited Talk 2
August 7, Sunday, 1330-1700, Room AC2 2513
The Accurate Underwater Localization Techniques
Underwater Acoustic Sensor Networks
Speaker: Dajun Sun, Harbin Engineering University
of
Large-Scale
Biography
Dajun Sun received his PhD. degree from Harbin Engineering University in 1999.
He is currently with the Underwater Acoustic Engineering College, Harbin
Engineering University, in which he was selected as the dean from 2013 to 2016.
Prof. Sun's current research interests include underwater localization and
navigation, underwater communications and networks, and underwater target
tracking and detection. He has published many journal and conference papers on
these topics. Prof. Sun is the recipient of "Outstanding Middle-Aged and Young
Experts in the National Defense Industry " award and "Heilongjiang Province
Youth Wusi Medal".
Abstract
The Multiple-Input Single-Output Angel of Arrival (MISO-AOA) ranging is the
effective localization technique of the underwater acoustic sensor networks. Due
to the characteristics of passive localization, MISO-AOA ranging is suitable for
the large-scale underwater networks, which can improve the localization accuracy
and efficiency. In this lecture, the principle of MISO-AOA ranging is introduced,
and the orthogonal wideband signals, such as Costas sequence and Gold sequence,
are adopted to estimate the AOA. In the last, the experiment results on the
water-pool and lake are also provided to verify the feasibility of the ranging
technique.
IEEE Region 10 Distinguished Student Paper
Award Competition Final Round Presentation
Date:
Session:
August 7, Saturday, 1330-1700, Room AC2 2310
DSPCR10 Distinguish Paper Presentation
DSPC-01
Under-Ice Underwater Acoustic Communication Based On
Direct Sequence Spread Spectrum System With
Parametric Emission
Authors:
Tang Shengyu; Zhu Guangping; Zhang Xiao; Yin
Jingwei; Guo Longxiang; Shi Wei;
DSPC-02
Joint Rf/Baseband Grouping-Based Codebook Design For
Hybrid Beamforming In Mmwave Mimo Systems
Authors:
Wu, Chien-Sheng; Chen, Chiang-Hen; Tsai,
Cheng-Rung; Wu, An-Yeu (Andy);
DSPC-03
Learning Discriminative Cnn Features And Similarity
Metrics For Image Retrieval
Authors:
Sun Peixia;
DSPC-04
On The Importance Of Network Architecture In Training
Very Deep Neural Networks
Authors:
Chi,Zhizhen;
DSPC-05
Authors:
Lin Huiting; Luo Tao;
Li,Hongyang;
Joint Lmmse And Map Channel Estimation Using Bcrb
Training Design For Correlated Two-Way Mimo Relay
Systems
Chen Huiming; Lam Wong-Hing;
DSPC-06
Authors:
DSPC-07
Authors:
DSPC-08
Authors:
DSPC-09
Authors:
Deep Image Retrieval And Classification On Sparknet
Li, Hongyang; Su, Peng; Chi, Zhizhen; Wang,
Jingjing;
Multiple-parameter Discrete Fractional Transform and Its
Applications
Xuejing Kang
Performance Analysis of MIMO Spectrum-Sharing
Networks With Pre-Whitened Interfering Signals Under
Outdated Channel Information
Sikandar Kumar
Inner and Inter Label Propagation: Salient Object
Detection in the Wild
Hongyang Li
DSPC-10
Theoretical Analysis of Differential Microphone Array
Beamforming and an Improved Solution
Authors:
Chao Pan
DSPC-11
Authors:
All-optical Relaying FSO Systems Using EDFA Combined
with Optical Hard-Limited OVER Atmospheric Turbulence
Channels
Phuc V. Trinh
DSPC-12
Energy-efficient Cognitive Transmission with Imperfect
Spectrum Sensing
Authors:
Lin Zhang
2016 IEEE International Conference on Signal
Processing,
Communications and Computing
ICSPCC 2016
August 5-8, 2016
City University of Hong Kong, China
Technical Session Program
Date:
August 6, Saturday, 1330-1700, Room AC2 2312
Session:
SPG01 Signal Processing Technique and Interest
Session:
SPG01-01, Paper No.2781
Title:
An Image Encryption Algorithm Based on High-dimensional
Chaotic Systems
Tang Qi; Jiang Junmin; Jiang Junli;
Authors:
Abstract:
In the field of image encryption, chaotic system is more and more
used in the design of secure communication system because of its
characteristics of similar noise and high sensitivity to the initial
value.Image encryption methods based on high-dimensional chaotic
has become research hotspots, and the development of combination
chaos has become development trend of image encryption. The
high dimensional chaotic parameters can effectively improve the
key space of the encryption method ,but the nonlinear behavior of
high dimensional chaos if more difficult to predict than low
dimensional chaos.The combination chaos which combined some
different chaotic systems is sensitive to the initial value and has
anti-analysis capabilities. Combination of some high dimensional
chaotic maps in the encryption system can improve which
performance significantly. A color image encryption algorithm
based on high-dimensional chaotic system has been proposed in
this paper, which combined two high-dimensional chaotic systems
to form a more complex chaotic system, one-time key stream
sequences also used to enhance information entropy of the
encrypted image and reduce the correlation between the adjacent
pixels, and the key sequence was generated by the Hyperhenon
system, and the initial value of Hyperhenon system derived from
the Hash values related to the plain image, those ensured the
algorithm confidentiality and stability. Theoretical analysis and
experimental results from key space analysis encrypted
performance of each element, information entropy analysis, and
robustness against noise show that the proposed algorithm has a
lower adjacent pixels, higher information entropy and anti-noise
performance.
Session:
SPG01-02, Paper No.2970
Title:
Complexity Control For Hevc By Visual Saliency Detection
Authors:
Shan Nana;
Zhou Wei; Duan Zhemin;
1
Abstract:
The new quad-tree structure was adopt by High Efficiency Video
Coding (HEVC) to partition the Coding Unit (CU). It improved
compression efficiency while increased the computational
complexity. This paper analysis the percentage of CU depth, the
coding time of CU depth and the relationship between the CU depth
and the visual saliency. A complexity control algorithm for HEVC
with the visual saliency is proposed. Based on their saliency
characteristics and the target level, the proposed algorithm decides
the maximum coding tree depth for each coding unit. The certain
saliency threshold is used to decide whether the coding unit should
be split into smaller CUs. By this way, the coding complexity
control can be achieved with minimal loss of visual distortion.
Session:
SPG01-03, Paper No.2666
Title:
Variable-Magnitude Filter Design Using Simplified
Coefficient-Transformation
Deng, Tian-Bo;
Authors:
Abstract:
In this paper, we present an improved method for designing a stable
recursive variable-filter (VF) by utilizing a generalized transfer
function as well as a simplified coefficient-transformation. The
coefficient-transformation is introduced for guaranteeing the VF
stability. The main advantages of this improved design are
two-fold; one is that the utilization of the generalized transfer
function makes the VF design more flexible, and the other is that
the utilization of the simplified coefficient-transformation reduces
extra computational burden needed in the VF optimization process.
An example is given to illustrate that the improved method can get
higher design accuracy than the existing method while offering the
aforementioned two advantages.
Session:
SPG01-04, Paper No.2822
Title:
Detecting Story-Related Subject Captions in Chinese News Videos
Using Spatio-Temporal Analysis
Wang Xihan; Feng Xiaoyi; Xia Zhaoqiang; Hadid Abdenour;
Authors:
Abstract:
Story-related subject captions (SSCs) are the texts which are added
to news videos to summarize the story. Compared to all types of
caption texts (channel logo, scene locations, scrolling marquee,
time, speaker names, audio subtitles, dates etc.), only SSCs
describe the news stories and this is useful in news video analysis
and retrieval systems. Different from most existing methods in the
literature which mainly focus on detecting all types of caption texts
2
in static images, we propose an efficient approach for detecting
story-related subject captions using spatio-temporal analysis. We
design various types of spatial and temporal features that are
intrinsic to SSCs and robust to different variations. Stroke Width
Transform (SWT) is first applied to compute connected
components. These components are then clustered into chains with
similar geometric properties and colors, yielding in candidate text
captions. These candidates are finally refined using spatial and
temporal analysis. A new challenging data set with ground truth
and evaluation protocol is built and will be made publicly available
for research purposes. Our experimental analysis shows that our
proposed algorithm yields in promising results which compare
favorably against traditional approaches in the literature.
Session:
SPG01-05, Paper No.2852
Title:
Non-Integer Times Frame Rate Up-Conversion Using Reliable
Analysis of Motion Information
Qu Aixi; Liu Ju; Xiao Yifan; Wan Wenbo; Wang Qing;
Authors:
Abstract:
In this paper, a novel non-integer times frame rate up-conversion
(NIFRUC) algorithm using reliable analysis of time-domain motion
information is proposed. The proposed method can realize frame
rate up-conversion (FRUC) of any fractional multiples based on
double FRUC. In addition, in order to eliminate motion jerkiness
and motion blurring, the proposed method makes full use of motion
information to select the inter-frame where movement is faster as
the interpolated position and gets interpolated frames by bilateral
motion compensation interpolation. Also, in order to obtain more
accuracy interpolated positions, a new scene detection scheme as
well as the combination of the inter-frame motion speed and
inter-frame correlation degree is applied. Experimental results
confirm that the proposed method outperforms previous NIFRUC
methods in terms of theory analysis, subjective mean opinion score
and objective evaluation.
Session:
SPG01-06, Paper No.2979
Title:
Bounded OS-DL: An Improvement for One-Stage Dictionary
Learning Algorithm
Wen, Yuanmei; Xu, Genpeng;
Authors:
Abstract:
In this paper we propose a novel algorithm, which is an
improvement for one-stage dictionary learning (OS-DL) algorithm,
by imposing a l^2-norm constraint on the update of the atoms. Our
3
contribution embarks from the OS-DL algorithm and incorporates
the well-known convex optimization method, proximal point
method, into this algorithm. Experimental results on recovering a
known dictionary and sparsely approximating an AR(1) signal
demonstrate the promising performance of our proposed algorithm.
Session:
SPG01-07, Paper No.2995
Title:
A modified echolocation model for multiple targets estimation
using hyperbolic frequency modulation emission
Su Mengna; Liang Hong; Liu Huafeng; Yang Changsheng;
Authors:
Abstract:
The Bat uses Frequency Modulated (FM) echolocation calls to
accurately estimate range and resolve closely spaced as 2 us
objects. In this paper, a modified echolocation model for multiple
targets in 3-dimensional space using hyperbolic frequency
modulation emission is proposed. The method to modify
parameters in all blocks using LFM waveform echolocation model
is given. The simulation results show that the modified model using
HFM emission can estimated multiple closely spaced objects with a
high range resolution.
Session:
SPG01-08, Paper No.2712
Title:
The facial expression recognition method of random forest based
on improved PCA extracting feature
Jia Ju; Xu Yan; Zhang Sida; Xue Xianglong;
Authors:
Abstract:
In this paper, we propose a new framework for facial expression
classification. This framework utilizes random forest as the
classifier based on the features extracted from improved principal
component analysis (PCA). Traditional PCA has two drawbacks: it
is difficult to estimate the covariance matrix, and it is
computational prohibitive to get the eigenvectors. In order to solve
the two problems, we adopt an improved PCA to extract the
features and uses the random forest algorithm as the classifier. The
experiments are conducted based on the JAFFE facial expressions
library, and are compared with the support vector machine (SVM)
classifier. Theoretical analysis and experimental results show that
the facial expression recognition system of random forest based on
improved PCA extracting feature, whether in terms of facial
expression recognition rate or running speed, has shown significant
improvement.
Index Terms—improved PCA, feature extraction, RF, SVM, facial
expression recognition.
4
Session:
SPG01-09, Paper No.2687
Title:
The Effect of Region Segmentation on Object Categorization
Authors:
Tsai, Chih-Fong;
Abstract:
Date:
A kind of Multi-UAVs cooperative control algorithm under a
disaster search and rescue scenario is presented. The states of
UAVs are separated as search and relay. In search state, UAVs
constantly look for wireless signals from the ground rescue workers
by planning path under communication constraints. In relay state,
UAVs share information without delay by selecting information
route and planning UAVs flight path. Simulation results show that
this kind of multi-UAVs cooperative control algorithm could plan
path for UAVs efficiently and optimize communication
performance of relay network.
August 6, Saturday, 1330-1700, Room AC2 2513
Session:
SPX1- Underwater signal processing and Commsunications
Session:
SPX1-01, Paper No.2696
Title:
A Robust Underwater Acoustic Communication Approach for
Pipeline Transmission
Su, Nan; Liu, Jianyan; Liu, Qiang; Wang, Weijiang;
Authors:
Abstract:
Hu, Ya-Han;
Lin, Wei-Chao;
As a special but important scenario, the critical requirement on
robust and effective wireless acoustic communication through the
pipeline is increased in the applications such as oil explo- ration
and geological exploration. However, due to the complexity of the
pipeline environment including strict band limitation, multi
reflection and refraction from state-mixed transmission media of
liquid, gas and solid, such a multipath channel is so sophisticated
that relevant practical research is still a blank. In this article, after
several field experiments, the characteristic of underwater pipeline
channels is deeply tested and presented. Then a group of robust
approaches mainly based on chirp signals for underwater
communication through the pipeline is systematically proposed,
where mainly including synchronization, timing and frequency
offset estimation and signal to noise ratio (SNR) estimation for
signal identification. Under conditions with center frequency
12kHz and 1.1kHz, both simulations and field experiments were
performed. Their numerical results validate the effectiveness and
robustness of the proposed approaches via the good and stable
performance of detection, synchronization, estimation and
demodulation under the ultra-low power consumption even at long
distances.
5
Session:
SPX1-02, Paper No.2729
Title:
The Low Power DSP Platform Design of Underwater Acoustic
Communication System
Di Zeng; Yan Shefeng; Xu Lijun; Zhang Zhen
Authors:
Abstract:
The underwater acoustic communication system has a number of
restrictions to DSP core because of the bad underwater
environment. In view of this situation, we have designed a DSP
platform with high performance, small scale, low power
consumption and high reliability. This platform has only one
processer, and a high speed and volume, low power SDRAM is
integrated to improve the computation ability. Due to the powerful
MCBSP interface and the Ping-Pong buffer transfer of EDMA3, the
DSP platform can handle a large amount of high-speed serial data
stream without frequently occupying CPU. This guarantees the
CPU to focus on data processing. There are two modulation types
available in this platform, i.e., MFSK and QPSK modulation. The
two modulation types are selectable based on the status of
underwater acoustic channel and can work on a half-duplex mode.
The software upgrade of the platform is very convenient, since the
UART is both used to communicate with the user or other device
and update the program file in the SD card. A series of experiments
indoor and in the sink have been conducted to test the key
performance indictor of this platform. The MFSK data rate is
300bps and the QPSK data rate is 4.2kbps. The maximum total
power consumption of the platform is only 775mW and the
platform size is only 50*60mm.
Session:
SPX1-03, Paper No.2730
Title:
Design of an Underwater Acoustic Network Node
Authors:
Zhang Zhen;
Abstract:
Underwater acoustic network nodes are widely used in underwater
sensor networks. In this paper, an underwater acoustic network
nodes that works at the frequency between 10 kHz and 15 kHz is
designed. This system can operate in two modulation methods,
MFSK and QPSK, which have a data rate of 288 bps and 4.2 kbps
respectively. Two series of experiments were conducted in different
seasons to verify the performance of the system. The experiments
results showed the system had a good performance of real-time
acoustic communication at a distance up to 6 km.
Yan Shefeng;
Xu Lijun;
Zeng Di;
6
Session:
SPX1-04, Paper No.2741
Title:
Blind Channel Estimation and Phase Ambiguity Elimination in
MIMO-OFDM Underwater Acoustic Communications
Bu Renfei; Wang Shilian; Yu Xiaoyou;
Authors:
Abstract:
Underwater acoustic (UWA) channel is bandwidth-limited owing to
the low sound speed, severe time- and frequency-selective fading.
We believe that improving the spectral-efficiency is a decent
approach to increase the capacity of UWA systems. In this paper,
we introduce a highly spectrum-efficient MIMO-OFDM system
under UWA channel that uses blind channel estimation and
elimination of phase ambiguity induced in equalization. We employ
classic subspace algorithm (SPA) as the blind channel estimation
method without the training sequences and pilot tones. To
maximize the performance of SPA, a resampling-based solution to
mitigate the channel Doppler shift is applied at the receiver.
Considering the phase ambiguity introduced inherently in SPA, we
use an interleaved symbol mapping schemes to eliminate the
ambiguity, which achieves no rotational symmetry in the combined
signal constellation. Numerical simulations verified that the phase
error could be corrected without any data aiding and the spectrum
efficiency of MIMO-OFDM UWA communications is greatly
improved compared with pilot-based method.
Session:
SPX1-05, Paper No.2755
Title:
Performance analysis of Self Interference Cancellation in
Bidirectional Relaying Underwater Acoustic
CommunicationBiRUAC System
Zhang Lingling; Huang Jianguo; Tang Chengkai;
Authors:
Abstract:
Due to the underwater acoustic channel is more complexity than the
wireless communication channel. It has more multipath interference
and larger attenuation, so the rate of transmission in the underwater
acoustic channel is lower and the probability of error is larger. Aim
to those problems, we proposed a bidirectional relaying underwater
acoustic communication system and analysis the performance of
this algorithm. The algorithm utilized the self interference
cancellation model to remove the self interference. In the
performance analysis part, we set the different size of self
interference cancellation model. The simulations show that our
proposed algorithm has lower SER and higher rate of transmission.
7
Session:
SPX1-06, Paper No.2766
Title:
Passive Time Reversal based Hybrid time-frequency domain
equalizer for Underwater Acoustic Communication
Li Qinyuan; He Chengbing; Zhang Qunfei; Cheng Kejia
Authors:
Abstract:
For recent years the passive time reversal process is one of the
hotspots research in underwater communications.It has the property
of space-time focusing, which has been used in single carrier time
domain equalization (SC-TDE) system. Single carrier block
transmission adopting frequency domain equalization processing,
which has the advantages of low complexity. In order to improve
the performance further, this paper presents a method of passive
time reversal (TR) based hybrid time-frequency domain equalizer
(TR-HTF) for underwater acoustic communication, two structures
of TR-HTF is established. This method can effectively reduce tap
order of time domain equalizer by using frequency domain
equalizer in advance. Theoretical analysis and simulation studies
have confirmed the validity of the proposed method.
Session:
SPX1-07, Paper No.2780
Title:
Error Characterization of Underwater Acoustic Channels Based on
the Simple Fritchman Model
Zhang, Xin; Zhang, Xiaoji;
Authors:
Abstract:
Burst errors are often observed in the practical underwater
acoustic channels because of the frequency selective fading, leading
to the reliability performance degradation of the underwater
acoustic communications. This paper proposes a coding channel
model based on the simple Fritchman model for describing the
burst error statistics of the underwater acoustic communications.
The error-free run distribution, a special error statistical parameter,
is derived from a measured error sequence and denoted with the
curve fitting of the exponential function terms, yielding the simple
Fritchman model with the fitting parameters. The burst error
distribution and the block error probabilities are then calculated
with the model and compared with the experimental values. It is
shown that there is a good agreement between the calculated and
the measured values. The coding channel model can be used for the
design of the error-correcting code and decoding algorithms of the
error control schemes for the underwater acoustic communications.
8
Session:
SPX1-08, Paper No.2831
Title:
A Novel Automatic Modulation Classification Method Based on
Stockwell-transform and Energy Entropy for Underwater Acoustic
Signals
Zhao Zilu; Wang Shilian; Zhang Wei; Xie Yang;
Authors:
Abstract:
Automatic Modulation Classification (AMC) of communication
signals plays a significant role in communication systems.
However, conventional methods of modulation classification have
poor performance in a shallow water environment. Recently, the
Stockwell-transform (S-transform), a new time-frequency analysis
method, receives widely attention in different areas. In this paper,
we introduce the S-transform into modulation classification and
propose a novel method of modulation classification under
underwater acoustic channel. Firstly, we set up a model of
underwater acoustic channel based on Bellhop and the multipath
Rayleigh fading channel model. Next, we extract features of energy
entropy of S-transform time-frequency spectrum of signals, and
then input them into the classifier, Support Vector Machine (SVM).
Meanwhile, different signal sets are considered, which have
different number of signal schemes. Finally, Matlab simulating
experiments are performed to evaluate the performance of the
proposed method for each signal set under AWGN channel, and
results show that the proposed method reaches higher probability of
correct classification than convention methods. Aiming at the
problem under multipath fading channel, especially underwater
acoustic channel, the simulated results show it effectiveness.
Session:
SPX1-09, Paper No.2855
Title:
Artificial Measurements Based Filter for Energy-Efficient Target
Tracking in Underwater Wireless Sensor Networks
Zhang, Senlin; Chen, Huayan; Liu, Meiqin; Zhang Qunfei;
Authors:
Abstract:
Target tracking is one of the broad applications of underwater
wireless sensor networks (UWSNs). Sensors of UWSNs are
battery-powered and it is impracticable to replace the batteries
when exhausted. That means the batteries life affecting the lifetime
of whole networks. So, it is worth reducing the energy consumption
on the premise of satisfactory tracking accuracy. This paper
proposes an energy-efficient target tracking scheme that
implements the tradeoff between communication rate and tracking
accuracy. Under the distributed fusion framework, this scheme cuts
down the weak information of local sensors by set a threshold of
9
the measurement residual. This approach saves much energy but
may result in bad target tracking performance. We design an
artificial measurements based filter to guarantee
the target tracking accuracy. Simulation demonstrates that our
scheme can save much energy while lost negligible target tracking
accuracy by designing a proper threshold.
Session:
SPX1-10, Paper No.2856
Title:
An Improved R-MAC Based MAC Protocol for Underwater
Acoustic Networks
Liu, Meiqin; Huang, Weikun; Qian, Liangfang; Zhang,
Senlin;
Long propagation delay, limited bandwidth and high bit error rate
pose great challenges in Media Access Control (MAC) protocol
design for underwater acoustic networks. A reservation based MAC
protocol called R-MAC designed for underwater acoustic networks
was proposed and analyzed. However, there exists channel
resources waste problem in R-MAC. In order to overcome this
drawback, this paper proposes an improved R-MAC based MAC
protocol for underwater acoustic networks, called NR-MAC. To
improve the channel utilization, NR-MAC introduces a new control
packet called xREV. Then a new mechanism for data sending and
receiving is designed and improved scheduling algorithms at
receiver are proposed. Simulation results show that NR-MAC
increases the network
throughput as compared with R-MAC. Index Terms—underwater
acoustic networks, medium access control, channel utilization,
scheduling algorithms, throughput
Authors:
Abstract:
Date:
August 6, Saturday, 1330-1500, Room AC2 2306
Session:
COM01 Communications Technique & Interest
Session:
COM01-01, Paper No.2736
Title:
An Approach for Optimizing the Reconfigurable Antenna and
Improving Its Reconfigurability
Zhang Yuan; Wu Chang Ying;
Authors:
Abstract:
In order to reduce the complexity of the antenna and improve its
reconfigurability, a multi-port network algorithm and a function of
minimum probability (MP) are proposed. This function is used to
evaluate the effects that different switches on the overall
10
reconfigurability of the antenna. During the simulation process,
switches to be evaluated are turned on and off, respectively; while
the other switches are in ON and OFF randomly. After receiving
the impedance matrix of the Z matrix in that way, and evaluating
each switch in the state of on and off by calculating the matrix
network, those switches which have less contribution to the
reconfigurability can be removed by sorting the minimum
probabilities from bigness to smallness. To verify the feasibility of
this method, a multi-switch reconfigurable antenna is introduced.
The number of switches is reduced from 85 to 12 while still has the
ability of reconfiguration at the entire band of 2 to 7 GHz. What’s
more, the probability of resonance at each frequency has been
increased.
Index Terms—Reconfigurable antenna, multi-port network method,
minimum probability.
Session:
COM01-02, Paper No.2744
Title:
The Influence of Different Length of Standard Parts on the
Accuracy of TRL Calibration
Ru Tie Shan; Wu Chang Ying; Zhang Yuan;
Authors:
Abstract:
This paper mainly studies the influence of the connection errors on
the accuracy of the calibration. Through theoretical derivation of
the simplified error transfer model, the influence of the introduced
error can be obtained by repeatedly introducing errors at the
transition; through HFSS-Matlab-API script programming, the
simulation results via HFSS and Matlab can be obtained
respectivity, which two are very consistent with each other. What’s
more, introducing errors multiple times to the Device Under Test
(DUT) during the process of measurement, the coefficient of
variations of the measurement results will appear regularly maxima
and minima with the length of standard parts and the different
values of the resistance of DUTs. Therefore, in the condition that
the standard parts and the connection parts of vector network
analyzer have tiny difference, according to the values of DUTs and
the length of the standard parts that the minimum value of the
coefficient of variations corresponding to, a method that how to
design suitable length of fixture and standard parts to reduce the
calibration errors to the minimum has been proposed. In addition,
the actual productions of the circuits have been measured, and the
results are very consistent with the simulation results, which have
verified the rationality of the design and the reliability of the
simulation.
11
Index Terms—TRL calibration, DUT, calibration errors, standard
parts, coefficient of variation.
Session:
COM01-03, Paper No.2802
Title:
Optimal Sensor-target Geometries Analysis for Angle-of-Arrival
Localization
Pang Feifei; Zhang Qunfei; Shi Wentao
Authors:
Abstract:
The target position accuracy suffers from the bad relative
sensor-target geometries for Angle-of-arrival localization
techniques. To reduce the impact, the optimal sensor-target
geometries in the 2D plane are investigated based on maximizing
the determinant of the Fisher information matrix. To solve the
optimal problem, the conditions that the local optimal solutions
should satisfy are studied by discussing the first derivative and
Hessian matrix. For two sensors with arbitrary distance to the
target, it is shown that the optimal geometry is obtained if the two
bearing lines are mutually perpendicular. The optimal geometry is
studied for more than two sensors with the equal distance.
Simulation results illustrate the effectiveness of the proposed the
optimal relative sensor-target geometries.
Session:
COM01-04, Paper No.2669
Title:
A Spectrum Auction Strategy for multimedia stream in Cognitive
Radio Network
Cao Jing; Wu Junsheng; Zhao Jianhua;
Authors:
Abstract:
Research about multimedia streaming in cognitive radio network
has become a hot issue recently. In order to enhance the throughput
of real-time multimedia streaming and maximize the utility, we
proposes a dynamic spectrum allocation strategy based on
Qos-layering and auction theory (QLAS). In this strategy, we
classify the secondary users according to the feature of data stream,
and choose the optimal channel for every user. When the primary
base station receives the access request, it chooses the winner based
on auction theory and allocate spectrum to winners. Analysis and
simulation result show that, this strategy can guarantee the
heterogeneous requirements of heterogeneous SUs and improve the
spectrum utilization.
Session:
COM01-05, Paper No.2800
Title:
Signal Detection of MIMO System Based on Quantum Ant Colony
12
Algorithm
Authors:
Yanwei Yang;
Abstract:
In this paper, we investigate the problem of joint base station (BS)
and user equipment (UE) clustering, sub-carrier and power
allocation in multi-cell multi-user multiple-input multiple-output
(MU-MIMO) orthogonal frequency division multiple access
(OFDMA) system with the aim of maximizing the system sum rate
while minimizing the number of BSs to serve each UE. We propose
a dynamic clustering with adaptive coordinated multi-point (CoMP)
algorithm (DCAC), to form BS and UE clusters which adapt to the
channel state information (CSI) and quality of service (QoS)
requirement. For a specified BS and UE cluster set, the
optimization problem is transformed into a cluster-based
cross-layer resource allocation problem with the aim of maximizing
the system capacity. It is solved by the subgradient method for the
dual problem. Numerical results show that the subgradient method
converges quickly and the proposed DCAC method achieves
significant sum rate improvement when compared with the fixed
CoMP scheme.
Session:
COM01-06, Paper No.2955
Title:
Cluster-based Resource Allocation with Adaptive CoMP in
Multi-cell MU-MIMO OFDMA System
Mao, Yijie; Li, Victor.O.K;
Authors:
Abstract:
Feng Hu; Zhong Jiang;
Chao Wang;
In this paper, we investigate the problem of joint base station (BS)
and user equipment (UE) clustering, sub-carrier and power
allocation in multi-cell multi-user multiple-input multiple-output
(MU-MIMO) orthogonal frequency division multiple access
(OFDMA) system with the aim of maximizing the system sum rate
while minimizing the number of BSs to serve each UE. We propose
a dynamic clustering with adaptive coordinated multi-point (CoMP)
algorithm (DCAC), to form BS and UE clusters which adapt to the
channel state information (CSI) and quality of service (QoS)
requirement. For a specified BS and UE cluster set, the
optimization problem is transformed into a cluster-based
cross-layer resource allocation problem with the aim of maximizing
the system capacity. It is solved by the subgradient method for the
dual problem. Numerical results show that the subgradient method
converges quickly and the proposed DCAC method achieves
significant sum rate improvement when compared with the fixed
13
CoMP scheme.
Date:
August 7, Saturday, 1530-1700, Room AC2 2306
Session:
COM02 Signal Processing and Communications
Session:
COM02-01, Paper No.2803
Title:
Scattering Channel Model and Channel Estimation in Fast
Time-Varying and High Mobility Environments
Chen, Xin; Fang, Yong;
Authors:
Abstract:
In high dynamic circumstance, high-speed relative movement
between spacecraft and receiver causes not only the carrier Doppler
frequency offset but also the code-frequency offset. To tackle the
problem of linear code phase drift in fast acquisition, this paper
proposes a novel acquisition algorithm based on compensating the
code-frequency offset. In the proposed algorithm, the carrier
Doppler frequency offset is searched by fixed frequency step, then
the code-frequency offset compensation for each dwell in Tong
detector can be calculated to eliminate the impact of code phase
drift. Furthermore, to reduce the computational complex and
hardware resources, a folding structure is adopted in the parallel
code phase search. Theoretical and simulation results verify the
effectiveness of the proposed algorithm.
Session:
COM02-02, Paper No.2824
Title:
A Code Doppler Compensation Algorithm in Acquisition for High
Dynamic Spread Spectrum signals
Guo, Yichao; Guo, Jianmin; Lv, Pin; Huan, Hao; Tao, Ran;
Authors:
Abstract:
In high dynamic circumstance, high-speed relative movement
between spacecraft and receiver causes not only the carrier Doppler
frequency offset but also the code-frequency offset. To tackle the
problem of linear code phase drift in fast acquisition, this paper
proposes a novel acquisition algorithm based on compensating the
code-frequency offset. In the proposed algorithm, the carrier
Doppler frequency offset is searched by fixed frequency step, then
the code-frequency offset compensation for each dwell in Tong
detector can be calculated to eliminate the impact of code phase
drift. Furthermore, to reduce the computational complex and
hardware resources, a folding structure is adopted in the parallel
code phase search. Theoretical and simulation results verify the
14
effectiveness of the proposed algorithm.
Index Terms—spread spectrum, high dynamic, Doppler
compensation, detection performance.
Session:
COM02-03, Paper No.2865
Title:
chaotic signal extraction in wireless sensor networks with unknown
statistics
Ren Ziliang; Feng Jiuchao; Zhao Zhi; Qin Yong;
Authors:
Abstract:
For solving the issue of the chaotic signal extraction in wireless
sensor networks (WSNs) with unknown statistics, we present a new
algorithm based on a cost reference cubature particle filter
(CRCPF) in this paper. The CRCPF uses the cubature-points rule to
obtain prediction particles before propagation and resampling,
meanwhile, it realizes particle selection and propagation by the
user-defined cost and risk functions. Simulation results confirm that
the proposed algorithm can extract chaotic signal effectively in the
situation of the probability distribution of the noise is unknown.
Session:
COM02-04, Paper No.2904
Title:
Study on a High Spectrum Modulation by Introducing Intersymbol
Interference
Ji, Chunlin; Liu, Ruopeng;
Authors:
Abstract:
The design of the communication system follows the Nyquist
intersymbol interference (ISI) criterion, which explains the design
principle of the transmitting and receiving filters to mitigate the
effects of ISI. In this work, we study how to utilize the ISI to
benefit a communication system. We propose a novel modulation
framework, which transmits the constellation symbols much faster
than the Nyquist rate and therefore introduces heavy interference
between consecutive symbols. The benefit of such modulation is
that the frequency bandwidth of the modulated symbols is
significantly compressed compared to the traditional modulated
symbol with the same symbol rate. We discuss the demodulation
process and present a particle filtering-type approximation
demodulation method. Numerical simulation and comparison study
demonstrate that under an achievable signal noise ration condition
the meta-modulation realize a high spectrum efficiency, which is
impossible to implement in the traditional QAM system.
Session:
COM02-05, Paper No.2913
15
Title:
Authors:
Abstract:
Multilevel-DFT based Low-Complexity Hybrid Precoding for
Millimeter Wave MIMO Systems
Liu, Yu-Hsin; Chen, Chiang-Hen; Tsai, Cheng-Rung; Wu,
An-Yeu (Andy);
The millimeter wave (mmWave) multiple-input multiple-output is a
promising technique for next-generation (5G) communication
systems. The inherently high path loss in mmWave can be
compensated by adopting large antenna array. However, huge cost
of radio frequency (RF) chains at high frequencies, as well as large
number of antennas, makes full-digital precoding in
mmWave-MIMO system infeasible. Hence, hybrid analog/digital
precoding techniques are proposed to reduce the hardware cost of
RF components while achieving similar performance as full-digital
precoder. Usually it requires iterative process and matrix inversion
to split full-digital precoder into hybrid structure. In this paper, we
propose a low-complexity hybrid precoding algorithm with
predefined rotated multilevel-DFT codebook. It can leverage
orthogonal mapping process to avoid iterative process and matrix
inversion. Simulation results demonstrate that the proposed
algorithm can achieve 97.6% spectrum efficiency compared with
state-of-the-art low-complexity hybrid precoding algorithm while
reducing 99.7% complexity in terms of complex multiplications.
Session:
COM02-06, Paper No.3001
Title:
An Improved Low-Complexity PTS Scheme for PAPR Reduction
in OFDM Systems
Ku, Sheng-Ju;
Authors:
Abstract:
In this paper, an improved low-complexity partial transmit
sequences (PTS) scheme is proposed to reduce the peak-to-average
power ratio (PAPR) of orthogonal frequency division multiplexing
(OFDM) systems. In the proposed PTS scheme, a set of cost
functions derived from the power of the time-domain samples of
each subblock is used to select the samples for peak power
estimation. Furthermore, we develop a new two-stage algorithm to
reduce the computational complexity of the optimization process of
the PTS scheme. Compared to related works, the proposed PTS
scheme can achieve similar PAPR reduction performance, but with
much lower computational complexity.
Date:
August 7, Saturday, 1330-1700, Room AC2 2310
Session:
DSPCR10 Distinguish Paper Presentation
16
Session:
DSPC-01, Paper No.2746
Title:
Under-ice underwater acoustic communication based on direct
sequence spread spectrum system with parametric emission
Tang Shengyu; Zhu Guangping; Zhang Xiao; Yin Jingwei;
Guo Longxiang; Shi Wei;
With the development of Arctic Underwater Acoustic, the
under-ice underwater acoustic communication has gradually
become an important indicator. It requires the system has low
complex multipath structure and low interference between users to
keep the autonomous underwater vehicles (AUV) work stably. This
paper presents the technique of under-ice underwater acoustic
communication based on parametric transmitter and direct sequence
spread spectrum system. The differential signal of parametric array
has a narrow directivity similar to the original signal, which can
reduce the multipath effect, and improve the reuse rate of
underwater acoustic channel at the same time. Spread spectrum
underwater acoustic communication technology is capable of
communicating under the condition of low signal to noise ratio
(SNR), and confidentiality of the pseudo-random sequence can
meet the requirements of remote communication. The theoretical
research and outfield trial verify the feasibility and effectiveness of
the proposed under-ice underwater acoustic communication
method.
Authors:
Abstract:
Session:
DSPC-02, Paper No.2916
Title:
Joint RF/Baseband Grouping-based Codebook Design for Hybrid
Beamforming in mmWave MIMO Systems
Wu, Chien-Sheng; Chen, Chiang-Hen; Tsai, Cheng-Rung;
Wu, An-Yeu (Andy);
Millimeter-wave (mmWave) multiple-input multiple-output
(MIMO) is a key technology for next-generation mobile
communication. To overcome mmWave’s instinctive channel
limitations like serious path attenuation, beamforming is essential
for communication systems. In this paper, we proposed a
low-complexity hybrid codebook design algorithm for mmWave
MIMO motivated by Lloyd algorithm with orthogonal mapping
technique motivated by Compressive Sensing (CS). Based on the
proposed hybrid codebook design, RF beamforming classification
(RF-C) algorithm is later proposed with reduced search effort. This
work can support large number of antennas, and achieves good
Authors:
Abstract:
17
performance with low computational complexity and low search
overhead. Simulation results show that the proposed codebook and
feedback strategy reduce the search complexity by more than 85%
with less than 4% performance loss compared with related work.
Session:
DSPC-03, Paper No.2925
Title:
Learning Discriminative CNN Features and Similarity Metrics for
Image Retrieval
Sun Peixia; Lin Huiting; Luo Tao;
Authors:
Abstract:
This paper proposes a CNN-based retrieval framework that uses
Siamese network to learn a CNN model for image feature
extraction. Model training and testing stages often use the same
similarity metric. But this paper adopts a contrastive loss function
with different distance metrics to fine-tune a pre-trained CNN
model, and applies different distance metrics in testing stage.
Through experimenting with different similarity metrics, this paper
finally finds that using the L2 distance to specify the contrastive
loss function while applying cosine similarity during testing
achieves the best performance. Its mean average precision (mAP)
achieves 58.2%, and is 1-2% higher than the previous best method
[4]. It shows that the similarity metrics for training and testing need
not be same. Subsequently, we learn more generalized similarity
metrics for model training and testing independently by minimizing
a hinge loss function defined over a pair of global image
representations. Compared with the existing image retrieval
methods that involve hand-crafted features, our proposed
framework performs well on four typical retrieval datasets.
Session:
DSPC-04, Paper No.2937
Title:
On The Importance Of Network Architecture In Training Very
Deep Neural Networks
Chi, Zhizhen;
Li, Hongyang;
Wang Jingjing; Lu Huchuan
Authors:
Abstract:
Very deep neural networks with hundreds or more layers have
achieved significant success in a variety of vision tasks spanning
from image classification, detection, to image captioning. However,
simply stacking more layers in the convolution operation could
suffer from the gradient vanishing problem and thus could not
lower down the training loss further. The residual network pushes
the model's depth to extremely deep by proposing an identity
mapping plus a residual learning term and addresses the gradient
back-propagation bottleneck well. In this paper, we investigate the
18
residual module in great extent by analyzing the structure ordering
of different blocks and modify them one by one to achieve lower
test error on CIFAR-10 dataset. One key observation is that
removing the original ReLU activation could facilitate the gradient
propagation in the identity mapping path. Moreover, inspired by the
ResNet block, we propose a random-jump scheme to skip some
residual connections during training, i.e., lower features could jump
to any subsequent layers and bypass its transformations directly to
the higher level. Such an upgrade to the network structure not only
saves training time but also obtains better performance
Session:
DSPC-05, Paper No.2981
Title:
Joint LMMSE and MAP Channel Estimation Using BCRB
Training Design for Correlated Two-way MIMO Relay Systems
Chen Huiming; Lam Wong-Hing;
Authors:
Abstract:
In this paper, we propose a two-stage channel estimation scheme
for two-way MIMO relay systems with a single relay antenna. We
assume the training process is performed under correlated Rayleigh
fading channels. At the first stage, the backward channel is
estimated by using linear minimum mean square estimator
(LMMSE). Based on the backward channel estimator, we propose a
novel forward channel estimation scheme by using asymptotic
maximum a posterior (MAP) method. Since Bayesian Cram′
er-rao Lower Bound (BCRLB) is more amenable to handle and has
been widely used in practice, we seek BCRLB based on asymptotic
likelihood function as the criterion for training signal design.
Finally, the numerical results show that the proposed training signal
can improve the MSE performance.
Session:
DSPC-06, Paper No.2869
Title:
Deep Image Retrieval and Classification on SparkNet
Authors:
Li, Hangyang;
Abstract:
Image retrieval and classification are hot topics in computer vision
and have attracted great attention nowadays with the emergence of
large-scale data.We propose a new scheme to use both deep
learning models and large-scale computing platform and jointly
learn powerful feature representations in image classification and
retrieval. We achieve a superior performance on the ImageNet
dataset, where the framework is easy to be embedded for daily user
experience. First we conduct the classification task using deep
Su, Peng;
Chiy, Zhizhen; Wang, Jinging
19
convolutional neural networks with several novel techniques,
including batch normalization and multi-crop testing to obtain a
better performance. Then we transfer the network's knowledge to
image retrieval task by comparingthe feature codebook of the query
image with those feature database extracted from the deep model.
Such a search pipeline is implemented in a MapReduce framework
on the Spark platform, which is suitable for large-scale and
real-time data processing. At last, the system outputs to users some
textual information of the predicted object searching from Internet
as well as similar images from the retrieval stage, making our work
a real application.
Date:
August 7, Sunday, 0900-1230, Room AC2 2312
Session:
SPG02 Radar and Sonar Systems
Session:
SPG02-01, Paper No.2699
Title:
Target Aspect Angle Estimation for Synthetic Aperture Radar
Automatic Target Recognition Using Sparse Representation
Chen Shichao; Liu Ming; Lu Fugang; Wang Jun;
Authors:
Abstract:
Aspect angle estimation of the targets is of great help to
computational reduction for template-based synthetic aperture radar
(SAR) automation target recognition (ATR) algorithms. An
effective aspect angle estimation algorithm of targets in SAR
images based on sparse representation is proposed in this paper.
The spare vector is firstly obtained under the dictionary which is
constructed by all the training samples. And then, taking the
characteristic that the SAR image sample is sensitive to the target
aspect angles into consideration, the reconstruction error is
calculated by each training sample according to the nonzero entry
of the sparse vector. The aspect angle of the sample with the
smallest reconstruction error is regarded as the final output. And the
proposed algorithm does not suffer the 180 degree ambiguity.
Experiments carried out on the moving and stationary target
acquisition and recognition (MSTAR) datasets validate the
effectiveness of the proposed algorithm.
Session:
SPG02-02, Paper No.2713
Title:
Optimal Waveform synthesis for adaptive Radar
Authors:
Fu Xiongjun; Peng Shuilian;
Zhang Chengyan;
Xie Min;
20
Abstract:
Target's echoes from different radar transmitted waveforms can
provide different target signatures.. As for adaptive radar, the
transmitted waveforms are adaptive to the operational environment
to acquire optimal performance. This paper presents a waveform
synthesis method for adaptive radar based on a cascade of the
water-filling algorithm and iterative least squares (LS) approach.
The optimal energy spectrum density (ESD) of the synthesized
waveform is obtained by the water-filling algorithm based on
maximizing the mutual information (MI) criterion; the echo can
then extract the maximum amount of target information. The
iterative LS approach is used to synthesize the complex-valued
waveform in time domain while the modulus of synthesized
waveform remains constant, which is helpful for maintaining the
transmitter efficiency. Simulation results show that the proposed
optimal waveform synthesis method is competent for adaptive
radar.
Session:
SPG02-03, Paper No.2725
Title:
Fresnel Based Frequency Domain Adaptive Beamforming for
Large Aperture Distributed Array Radar
Yang Bo; Li Bo; Yan Zhongjiang; Yang Mao;
Authors:
Abstract:
Distributed array radar is a significant radar system, which can not
only improve radar detection capability and measurement accuracy,
but also suppress mainlobe interference effectively. However, due
to its equivalent large aperture, the plane wave assumption fails.
What’s worse, target signals arriving at each array may have the
envelope migration problem, thus the traditional adaptive
beamforming method becomes invalid. This paper proposes a
Fresnel based frequency domain adaptive beamforming method for
large aperture distributed array radar. Instead of plane wave model,
it uses the Fresnel model based steering vector to improve
accuracy. Meanwhile, it transforms the time domain signal to
frequency domain, and using the traditional adaptive beamforming
method for each frequency point respectively. Finally, it
accomplishes the frequency domain adaptive beamforming by an
inverse Fourier transform (IFFT). In result, this method could
eliminate the envelope migration problem effectively. Simulations
illustrate the effectiveness of the proposed method.
Session:
SPG02-04, Paper No.2740
Title:
Resolution Analysis Based on Distinguishable Ellipse in Squinted
21
SAR under Maneuvering Flight
Authors:
Gao Jing;
Abstract:
Geometric configuration of imaging varies significantly over time
in squinted synthetic aperture radar (SAR) when platform is under
maneuvering flight. The classic resolution analysis in the traditional
SAR is not suitable in this case. In order to illustrate a general
description of the resolution characteristics of the system, a method
of resolution analysis based on distinguishable ellipse in squinted
SAR under different geometric configurations is presented. In
addition, two options for finding the optimal synthetic aperture of
target identification by estimating resolution are proposed. The
simulation results show that this method is adaptive to conditions of
different flight parameters and geometric configurations in squinted
SAR under maneuvering flight.
Session:
SPG02-05, Paper No.2760
Title:
Virtual Single-node Processing for SAR Imaging Based on
Multi-DSP
Jin Ye; Hu Shanqing; Zhao Jiayun; Long Teng;
Authors:
Li Feng; Ma Zhixun; Wang Zhen;
Abstract:
With the development of SAR technology, the SAR imaging
processing data capability and computation complexity increases
greatly. According to the situation, we design a virtual single node
(VSN) parallel processing method, which uses 8 TMS320C6678
DSPs as a big processor to realize the large capability distributed
storage and short time delay of SAR imaging processing. This
method designs a remote reading and writing time beat of range
line and azimuth line in distributed DDR to improve the remote
transmission bandwidth between DSPs, and a data layout
optimization approach in local DDR to achieve a balanced
two-dimensional matrix local storage bandwidth. Finally, this paper
realizes the SAR imaging algorithm based on the VSN method
using 8 C6678s.
Session:
SPG02-06, Paper No.2762
Title:
SAR Geometric Correction Algorithm Improvement on Multi-core
C6678 DSPs
Lu Mengyu; Wang Jinghua; Jin Ye;
Authors:
Abstract:
This paper achieves the SAR geometric correction algorithm and
makes improvements based on multi-core C6678 DSPs. To solve
the insufficient real-time problem, this paper improves the
22
geometric correction, and designs process software that can meet
the real-time requirements, from the process flow, process
algorithm and storage process aspects. This paper describes the
multiple DPSs parallel process scheme and multi-core mapping
tasks, and makes a comparison of the time-consuming before
optimization and after. And after the optimization, the geometric
correction’s efficiency is two times of the original. After
verification, the parallel process software designed in this paper can
meet the real-time requirements of the project, and also has good
stability.
Session:
SPG02-07, Paper No.2786
Title:
Non-Contact Vibration Retrieval and Performance Analysis Based
on LFMCW Radar
Liao Xin; Liu Shuai; Xiang Yin; Ding Zegang; Yan
Xuemei;
In the paper, a non-contact vibration retrieval method was
presented and the performance was analyzed based on linear
frequency modulation continuous wave (LFMCW) radar. Firstly,
the backscattered signal model of a vibrational target was
introduced with the stop-go assumption. Then a vibration retrieval
method was proposed by extracting phase based on the
backscattered signal model of a vibrational target. The influence of
noise and clutter on vibration retrieval was analyzed, and the signal
noise ratio of vibration measurement was obtained. Finally, the
validity of the performance analysis was verified by computer
simulations. In addition, the experimental data acquired by
LFMCW radar was used to test the proposed method.
Authors:
Abstract:
Session:
SPG02-08, Paper No.2787
Title:
An Efficient TOPS Imaging Algorithm Based on Spectral Analysis
Authors:
Wang Xiaobei;
Abstract:
The Terrain Observation by Progressive Scans (TOPS) mode solves
the problems existing in the conventional ScanSAR mode by
steering the antenna along the azimuth direction. However, the
antenna steering introduces a serious azimuth signal aliasing both in
time-domain and frequency-domain, thus traditional imaging
algorithms are not available for the TOPS mode. In order to solve
the azimuth signal aliasing, an efficient TOPS imaging algorithm
based on spectral analysis (SPECAN) is presented in this paper,
which is improved by sub-apertures division in the azimuth
Yin Peng; Ding Zegang;
Yan Xuemei;
23
processing part. Only few FFTs and complex multiplications are
used in the whole imaging processing, thus the algorithm has a high
efficiency. What’s more, in the final focused image, different
ranges have the same azimuth interval and the azimuth image
resolution is alterable according to the application requirements.
Finally, some simulations are conducted to verify the validity of the
proposed method.
Session:
SPG02-09, Paper No.2807
Title:
MIMO-OFDM Radar Waveform Design for Improving the
Detection Performance of STAP
Wang, Xue; Wang, Hongyan; Pei, Bingnan;
Authors:
Abstract:
In this paper, we address the waveform optimization problem for
improving the detection performance of MIMO-OFDM radar based
STAP in the complex environment. Under the maximizing the
output signal-to-interference-and-noise-ratio (SINR) criterion, the
waveform optimization problem for improving the detection
performance of STAP is derived, which is subjected to the constant
modulus constraint. To tackle the resultant nonlinear and
complicated optimization issue, a novel diagonal loading (DL)
based method is proposed to reformulate it as a semidefinite
programming (SDP) one, and then this problem can be solved very
efficiently. In what follows, the optimized waveform covariance
matrix (WCM) can be obtained to maximize the output SINR of
MIMO-OFDM such that the detection performance of STAP can be
improved. The simulation results show that the proposed method
can improve the output SINR detection performance considerably,
as compared to that of uncorrelated waveforms.
Session:
SPG02-10, Paper No.2817
Title:
An Improved Phase Gradient Autofocus Method for One-Stationary
Bistatic SAR
Chen, Shichao; Liu, Ming; Lu, Fugang; Wang, Jun;
Authors:
Abstract:
The motion errors of bistatic synthetic aperture radar (BiSAR) are
still considerable after traditional phase gradient autofocus (PGA)
for bistatic SAR in some situations, and the residual
range-dependent phase errors are still too large to cause defocusing.
To overcome the problem, a modified PGA algorithm is proposed
in this paper to deal with the range-dependent phase errors for
one-stationary bistatic SAR. Besides, the local maximum likelihood
theory is embedded in to enhance the performance of the proposed
24
algorithm. Advantages and effectiveness of the proposed algorithm
are verified on the real bistatic SAR data.
Date:
August 7, Sunday, 1330-1700, Room AC2 2513
Session:
SPX1- Underwater Signal Processing and Commsunications
Session:
SPX1-11, Paper No.2861
Title:
A Low Complexity Clustering Optimization Algorithm for
Underwater Sensor Networks
Zhang Hao; Wang Shi-Lian; Sun Hai-Xin;
Authors:
Abstract:
In view of the problem of load imbalance and low energy efficiency
in the existing underwater sensor network clustering algorithm, a
new global optimal clustering algorithm with low complexity and
parallel processing is proposed. Based on the basic idea of particle
swarm optimization algorithm (PSO), binary code for each sensor
node is performed. And through the adjustment of the coding, the
current particle code meets the ideal number of cluster heads. The
new particles are generated by random recombination of the coding
region of the surviving nodes. In the particle evaluation function,
the three optimization objectives are considered, which are cluster
head energy, cluster head load and cluster range. Simulation results
show that the proposed algorithm can effectively improve the load
balance and prolong the network lifetime.
Session:
SPX1-12, Paper No.2864
Title:
PN Sequence Based Doppler and Channel Estimation for
Underwater Acoustic OFDM Communication
Liu Lanjun; Zhang Yonglei; Zhang Pengcheng; Jin Jiucai;
Zhang Jie; Lv Zhichao;
Aiming at the requirement of Doppler and channel estimation
which applied to underwater mobile communication with
orthogonal frequency division multiplexing (OFDM) technology, a
PN sequence based method for Doppler and channel estimation is
proposed, an underwater acoustic OFDM communication system
structure is given and a block data frame based on PN sequence is
designed. For the Doppler estimation and compensation, a delay
cross-correlation method is adopted to estimate and compensate the
Doppler factor by utilizing the orthogonality of PN sequence, and
joints PN sequence and cyclic prefix for carrier frequency offset
(CFO) estimation and compensation. While in the aspect of channel
Authors:
Abstract:
25
estimation, decision feedback channel estimation method based on
PN sequence is used. Simulation results show the effectiveness of
the proposed Doppler and channel estimation method. Compared
with the traditional LFM cross-correlation method, the delay
cross-correlation method based on PN sequence decreases two
orders of magnitude of Doppler factor estimation error. The
constellation map of joint CFO estimation based on PN sequence
and cyclic prefix is convergent obviously. The decision feedback
channel estimation based on PN sequence could obtain about 6dB
performance gains.
Session:
SPX1-13, Paper No.2870
Title:
An Experiment-Based Time-Varying Underwater Acoustic
Communication Channel Model Regarding Bottom Scattering
Yuan, Zhuqing; Yan, Shefeng; Qin, Ye; Xu, Lijun;
Authors:
Abstract:
This paper presents an underwater acoustic communication channel
model to reveal the influence of rough bottom reflection and
scattering on the channel. We analyze experimental data from two
channel measurement campaigns, and concentrate on the channel
properties such as the spread-Doppler function, the time coherence
function and the spatial coherence function to study the variations
induced by medium inhomogeneity and random scattering of the
rough bottom. It is found that the time-varying channel impulse
response can be explained by using forward scattering theory under
downward refracting sound velocity and mountain seabed
condition, and the experimental results show good match to our
model.
Session:
SPX1-14, Paper No.2887
Title:
Robustness Verification of an OFDM System for Shallow Water
Communication
Ma Yiran; Jiang Zhe; Wang Xin; Ge Yao; Shen Xiaohong;
Authors:
Abstract:
The severe time-varying multipath effect of underwater acoustic
(UWA) channels has posed a great challenge for shallow water
communication system design. Although existing literature has
demonstrated that multicarrier modulation in the form of
orthogonal frequency division multiplexing(OFDM) is an effective
technique to deal with severe multipath effect of UWA channels,
the experiments of medium distance OFDM UWA communication
in shallow water are insufficient. In this paper, a specific OFDM
UWA communication system design with experimental results
26
from a reservoir test conducted in Danjiangkou Reservoir in China
as well as its comparison against single-carrier UWA systems has
been offered. The experimental results demonstrated that the
performance of OFDM system is significantly robust in shallow
water. Therefore OFDM is a practical choice for stable UWA
communication, especially when the multipath delay of UWA
channel is very large.
Session:
SPX1-15, Paper No.2898
Title:
Adaptive Underwater Image Compression with High Robust Based
on Compressed Sensing
Chen Weiling; Yuan Fei; Cheng En;
Authors:
Abstract:
Saliency was overlooked by most of the conventional block
compressed sensing (BCS). Actually, image blocks belong to
salient region need more measurements while less measurements
can meet the need of image blocks that are not salient when
considering about observation in BCS. In this paper, an adaptive
image compression based on compressed sensing is proposed. The
observation matrix is designed according to the image saliency. The
more important image block is, the more measurements this block
will get. The saliency will be measured according to spatial domain
(Image Activity Measure) and frequency domain (bispectrum). In
addition, condition for underwater acoustic channel is poor than
wireless channel, the need for a transmission scheme with high
robust is greater. In this paper, the lost measurement can be located
according to error detecting coding, and the lost measurement can
be repaired by interpolation. Relevant experiments shows that the
method proposed in this paper can improved the compression ratio
and quality of reconstructed image in receiving end.
Session:
SPX1-16, Paper No.2899
Title:
Beam Diversity For Single-Carrier Block Transmission Underwater
Acoustic Communications
He Chengbing; Cheng Kejia; Li Qinyuan; Shi Wentao;
Zhan Qunfei
Recently, single-carrier block transmission (SCBT) has been
considered for phase-coherent underwater acoustic communication
due to its reduced computational complexity and low
peak-to-average power ratio. It offers a viable design alternative to
the orthogonal frequency-division multiplexing (OFDM)
techniques. Spatial processing is considered for SCBT based
Authors:
Abstract:
27
high-rate underwater acoustic communication due to its ability to
mitigate the channel fading and intersymbol interference (ISI).
Session:
SPX1-17, Paper No.2917
Title:
The study of Spatial Diversity and Combination Technology for
Phase-Coherent Underwater Acoustic Communication
Li Jilong; Feng Haihong; Guo Xi; Huang Minyan; Min
Jinghui;
The UWA channel is characterized as a time-dispersive rapidly
fading channel, which in addition exhibits Doppler instabilities. To
eliminate inter-symbol interference caused by multipath
propagation, spatial diversity equalization is the main technical
means. This paper mainly uses the method of complex weighted
coefficient to achieve high SNR signal and maximize array gain.
This paper uses the passive-phase-conjugation (PPC) algorithm to
calculate signal-to-noise ratio(SNR) and signal-to-interference
ratio(SIR) with impulse response function and communication
signal. This paper firstly calculates the
signal-to-noise-plus-interference ratio (SNIR) and uses the Sigmoid
function to optimize the weighted coefficients of each channel.
Secondly, the optimized weighted coefficients need to be
normalized. It implements space and time joint equalization.
Thirdly, by introducing the second order phase locked loop, it can
track signal phase change caused by UWA channel. Lastly, the
paper adopts fractional-decision feedback diversity
equalizer(FDFDE). It achieves diversity equalization by using
different channel weighted coefficients. The simulation and lake
trial data processing results show that, the optimized diversity
receiving equalization algorithm can improve communication
system’s ability in tracking the change of underwater acoustic
channel, offset the impact of multipath and noise, and improve the
performance of communication system. The performance of the
communication receiving system is better than that of the
combination with equal gain. At the same time, the bit error rate
(BER) reduces for 1.7%.
Authors:
Abstract:
Session:
SPX1-18, Paper No.3012
Title:
Authors:
Bionic Communication by Dolphin Whistle with Continuous-Phase
based on MSK Modulation
Liu, Songzuo; Ma, Tianlong; Qiao, Gang; Kuang, Biao;
Abstract:
A Multi-beam based frequency domain equalizer is proposed in this
28
paper to improve the performance of communication system. Based
on the real data collected from a lake test conducted in November
2011, the credibility of the proposed algorithm was identified. We
find that the BER performance of beam diversity was slightly
improved compared with the conventional element-domain
multichannel equalizer. With BPSK modulation, at the range of
1.8km and data rate of $1500$ bit/s, the multi-beam processing has
no error bits.
Session:
SPX1-19, Paper No.3013
Title:
On Feature Extraction of Ship Radiated Noise Using D Spectrum
and Principal Components Analysis
Wei Xin;
Authors:
Abstract:
To obtain the valid information from the ship radiated noise and
achieve the purpose of the target recognition, we present a new
approach for extracting ship radiated noise based on the 1 1/2D
spectrum and the principal component analysis (PCA) method.
Firstly, initial characteristic is obtained from the ship radiated noise
by using the sub-band energy of 1 1/2D spectrum. Then PCA is
utilized to get the final characteristics. Furthermore, a neural
network is designed to use the final characteristic to recognize the
ship radiated noise. Experimental results show that the proposed
feature extracting method has better classification results and good
stability.
Session:
SPX1-20, Paper No.3014
Title:
Pulse Position Modulation Spread Spectrum Underwater Acoustic
Communication System using N-H Sequence
Tang, Zheng; Zhou, Feng; Zheng, Wenting;
Authors:
Abstract:
In this paper,we proposed a new Pulse Position Modulation(PPM)
Spread Spectrum Underwater Acoustic Communication System
using N-H Sequence,and we compared the PPM system
performance using N-H sequence with the system using m
sequence,and then we proved that the system we proposed has
superior performance.
Date:
August 7, Sunday, 0900-1230, Room AC2 2306
Session:
COM03 Wireless Communications and Networks
29
Session:
COM03-01, Paper No.2681
Title:
The Configuration of a Flexible Control Binary Offset Carrier
Modulation Signal
Liu Fan; Zhang Xin-xin; Tian Ming-hao; Feng Yong-xin;
Authors:
Abstract:
Along with the fast development of spread spectrum
communication and global positioning system, varied signal forms
are proposed, especially the emergence of BOC modulated signal
leads to the characteristics of multi peaks and spectrum splitting.
However, consider the need for the flexibility and extensible BOC
signals application, a flexible control binary offset carrier
modulation signal is proposed in this paper. Based on the BOC
modulation signal, the control parameter is defined in the new
signal, and the flexible single period subcarrier sequence is
generated by configuring the control parameter. Further, the single
period subcarrier sequence is periodically expanded to get the
subcarrier, which is modulated by PRN code to get FC-BOC signal.
This signal has the dynamic and flexibility of the spectrum and
correlation function, and can provide a reference for the application
of the new generation of spread spectrum signal and navigation
signal.
Session:
COM03-02, Paper No.2684
Title:
Multi-UAVs Cooperative Control in Communication Relay
Authors:
Fu, Xiaowei; Gao, Xiaoguang;
Abstract:
A kind of Multi-UAVs cooperative control algorithm under a
disaster search and rescue scenario is presented. The states of
UAVs are separated as search and relay. In search state, UAVs
constantly look for wireless signals from the ground rescue workers
by planning path under communication constraints. In relay state,
UAVs share information without delay by selecting information
route and planning UAVs flight path. Simulation results show that
this kind of multi-UAVs cooperative control algorithm could plan
path for UAVs efficiently and optimize communication
performance of relay network.
Session:
COM03-03, Paper No.2711
Title:
An Integrated Full-duplex Transceiver Based on Novel
Self-interference Suppression Solution including Non-ideality
Analysis
Du, Yongqian; Li, Guifang; Liu, Shibin;
Authors:
30
Abstract:
Co-time and co-frequency full-duplex (CCFD) is an effective
technology with promising application prospect in improving the
spectrum efficiency for wireless communication. However, it was
viewed as impossible not too long ago for its sever
self-interference. In this work, a novel intermediate frequency
self-interference suppression solution with a symmetrical
reconstruction path is proposed, based on which a single antenna
and single chip integrated CCFD transceiver is realized. The
proposed CCFD transceiver adopts an N-phase passive mixer
(NPPM) first architecture, where the NPPM is interfaced directly to
the antenna. Furthermore, to suppress the non-ideality of clock
overlap of the NPPM, which is the fundamental component and
directly decides the performance of the full CCFD transceiver, an
overlap safeguard factor is introduced. The CCFD transceiver
including the self-interference suppression solution and the validity
of the overlap safeguard factor in suppressing clock overlap are
simulated and verified under Cadence Spectre RF platform. The
simulation results show that the smallest self-interference
suppression depth is 34dB and it increased proportionally with the
increasing of the transmitting power under ideal impedance match.
The proposed overlap safeguard factor can also guarantee good
impedance match performance even a clock overlap as big as 4%
exists.
Session:
COM03-04, Paper No.2718
Title:
A Coloring-based Cluster Resource Allocation for Ultra Dense
Network
Zhao Caidan; Xu Xiaofei; Gao Zhibin; Huang Lianfen;
Authors:
Abstract:
Ultra dense network (UDN) technology will certainly be the key to
the future development of the fifth Generation (5G) mobile
communication. In order to improve spectral efficiency and
coordinate the downlink interference for UDN, a coloring-based
cluster resource allocation (CCRA) algorithm based on the graph
theory is proposed and simulated in the article. In this paper, a
large-scale phantom network is considered which can largely
separate control-plane and user-plane. It is effective to utilize
macro eNodeBs control to allocate resources to users, and phantom
nodes to transmit user data in the large-scale phantom cell.
Simulation results suggest that the proposed approach not only fits
in the user-oriented networks but also guarantees a better
throughput and improves the spectrum efficiency in densely
deployed phantom cells.
31
Session:
COM03-05, Paper No.2747
Title:
A Cooperative Multi-channel MAC Protocol with m-step Channel
Reservation for the Next Generation WLAN
Yang Bo; Li Bo; Yan Zhongjiang; Yang Mao;
Authors:
Abstract:
Most recently, an enhancement amendment named IEEE 802.11ax
is proposed by the High-Efficiency WLAN (HEW) Task Group for
the Next Generation WLAN (NGW), with a focus on improving
spectrum efficiency as well as area throughput. However, collisions
among stations (STAs) and Low-Rate-Links (LRLs) severely
degrade the network performance, which have become a great
matter of concern. In this paper, a channel reservation based
multi-channel MAC protocol with serial cooperation is proposed
for the next generation WLAN, called CRSC-MMAC, to explore
the capabilities of both cooperative relay and channel reservation.
In particular, with cooperative relay available, a LRL is divided
into two wireless links that sequentially occur on the same data
channel with higher data rate. Besides, by using multi-step channel
reservation, multiple cooperative transmission opportunities can be
reserved in advance with only one successful handshake on the
control channel, and thus collisions are effectively alleviated.
Extensive simul ations are deployed using ns-2 simulator,
simulation results show that saturation throughput of the proposed
CRSC-MMAC protocol is nearly two times of that of the ‘Baseline’
scheme, and average packet delay of CRSCMMAC is decreased by
nearly 33%.
Session:
COM03-06, Paper No.2833
Title:
Clustering-based Relay Selective Decode-and-Forward Relaying
Scheme
Yang Peiyao; Li Hai; Hou Shujuan;
Authors:
Abstract:
In this paper, we propose and analyze a new relaying scheme for
the three-node cooperative system, named as clustering-based relay
selective decode-and-forward (CSDF). The source broadcasts a
parallel concatenated recursive systematic convolutional (RSC)
code to both the relay and the destination.When the decoding error
is detected at the relay, a kernel K-Means clustering algorithm is
applied to distinguish the reliable bits from the unreliable bits. The
relay then forwards the bits that are deemed reliable and discards
the bits that are not, resulting in less errors propagating to the
destination. The closed-form expression of bit error rate(BER) is
32
derived to demonstrate the relation between error propagation and
system performance of our proposed relaying scheme. Simulation
results show that the proposed scheme achieves better performance
and efficiently reduce error propagation.
Session:
COM03-07, Paper No.2890
Title:
Novel Control Signal Detection for High-Rate Transmission in
LTE-OFDM Systems
Li Jun; Wen Miaowen; Jiang Xueqin; Yan Yier;
Authors:
Abstract:
The control signal (CS) is an integral essential part for the
transmission of uplink and downlink channels in longterm
evolution (LTE) systems. Hence, an inaccurate detection
method for the CS leads to a severe performance degradation. In
this paper, we propose a novel CS detection method for
LTEorthogonal frequency division multiplexing (OFDM) systems.
The proposed method dispenses with the channel estimation
compared with the conventional maximum-likelihood (ML)
detection, which avoid intersecting the pilots in the transmitted
signals. Duo to this fact, our proposed detection method can
increase the
system transmission rate without any additional expense.
Monte-Carlo simulations are performed. The simulation results
show that the proposed detection outperforms the ML detection
when transmitting a large length of control signals.
Session:
COM03-08, Paper No.2912
Title:
Simulation and Optimization of HF Transmission Method
Authors:
Fan Xianxue; Jin Xinghua;
Abstract:
A high frequency (HF) transmission method with low complexity
processing property is used in a project. The simulation mode is
build based on OMNeT++, and wireless channel conflict
probability and utilization ratio performances are simulated. The
performances with different network scale and parameter factors
are analyzed. Then, an optimization HF transmission method with
clustering method is proposed to improve the performances in
no-equality distributed information HF network.
Session:
COM03-09, Paper No.2927
Title:
MAC Protocol Framework for the 5G mmWave Backhaul Network
33
Authors:
Abstract:
Liang, Yusheng; Li, Bo; Yang, Mao; Zuo, Xiaoya; Yan,
Zhongjiang; Xue, Qingtian;
With the rapid growth of the mobile devices and increasingly
diverse mobile services, the traditional mobile networks can hardly
keep up with these trends. This asks for the 5G network to support
ultra-large traffic and guarantee supermassive connections.
Recently, the millimeter wave (mmWave) backhaul network is
supposed to be a promising technology to significantly improve the
network capacity and efficiently connect massive end users to the
Internet. However, most studies just study on the network
architecture and the physical layer technologies of 5G mmWave
backhaul network, and few of them focus on the MAC layer
technologies that directly affect its key performance indicators
(KPIs). In this paper, we propose a MAC protocol framework for
5G mmWave backhaul network including the wireless frame
structure, signalling, uplink/downlink/backhaul resource allocation
framework, and the beamforming training procedure. Moreover, we
design and implement the integrated link-system level simulation
platform. To the best of our knowledge, this is the first work to
design the MAC protocol framework and the integrated link-system
simulation platform for 5G mmWave backhaul network.
Session:
COM03-10, Paper No.2956
Title:
Cell Capacity for 5G Cellular Network with Inter-Beam
Interference
Xue Qingtian; Bo, Li; Zuo Xiaoya; Yan Zhongjiang; Yang
Mao;
The emerging 5G cellular networks will operate at millimeter wave
(mmWave) frequency bands to enhance the cell capacity. Massive
MIMO antenna array and beamforming technology are used in
order to overcome propagation limitations of mmWave band.
Multi-beam based communication system is considered as the basic
structure for 5G mobile network. However, to optimize the cell
capacity, the question of how many beams are required remains
unclear. In this paper, considering
5G mmWave cellular system with massive MIMO and
beamforming technologies, we accurately model the inter-beam
interference
and evaluate the cell capacity and outage probability of the system.
The simulation results give the optimal number of beams to
maximize the cell capacity. Our research provides a possible
guidance for the design of 5G cellular system.
Authors:
Abstract:
34
Session:
COM03-11, Paper No.2957
Title:
Outage Analysis for 5G Beamforming Heterogeneous Networks
Authors:
Yi, Xie; Bo, Li; Xiaoya, Zuo; Mao, Yang; Zhongjiang, Yan;
Qingtian, Xue;
With an explosion of wireless mobile devices and services,
beam-based communication in 5G heterogeneous network (HetNet)
has attracted extensive attention recently due to some potential
technologies in 5G such as massive MIMO and millimeter wave.
This paper proposes a outage probability analysis framework for
5G beamforming HetNet, which is composed of a multilayer
cellular network including macrocells and small cells. The HetNet
is affected by base station (BS)densities, transmission powers,
beam gains, beamwidths, path loss exponents and cell association
bias factors. We derive the association probability, average number
of users in a layer and the PDF of the distance to the serving BS for
the proposed beamforming HetNet. Then the SINR function is
formulated. Moreover, we derive the outage probability of the
network and use stochastic geometry to simulate the system
performance.
Abstract:
Date:
August 7, Sunday, 0900-1230, Room AC2 2310
Session:
CPT01 General Computing Interest
Session:
CPT01-01, Paper No.2914
Title:
A new design and implementation of scientific workflow simulator
Authors:
Wang, Yunlan;
Abstract:
In this paper, a novel scientific workflow simulator is designed and
implemented which is energy-aware and can simulate the scientific
workflow that running on the multi-core cluster system. A method
for application modeling is proposed which can describe the
process dependence, data dependence and performance requirement
of the workflow. A computing system model was also introduced to
describe the layered structure of the cluster, the communication
matrixes of the cluster nodes, and the energy consumption under
different load level. Based on the application model and the
computing systems model, the scientific workflow scheduling
problem was abstracted to multi-objective optimization problem, a
scheduling algorithm is presented which can satisfy the
Zhang, Bin;
Zhao, Tianhai; Gu, Jianhua;
35
performance constraints and is energy aware as while. The
experiment results proved the effectiveness of the simulator.
Session:
CPT01-02, Paper No.2990
Title:
Secure Biometric Image Retrieval in IoT-cloud
Authors:
Abduljabbar, Zaid Ameen; Jin, Hai;
Ibrahim, Ayad;
Hussien, Zaid Alaa; Hussain, Mohammed Abdulridha;
Abbdal, Salah H.; Deqing Zou
ithin the IoT-cloud, security has a very significant role to play. One
of the best means to safeguard confidentially, security and privacy
of a biometric image is through encryption. However, looking
through encrypted data is a difficult process. A number of different
techniques for searching encrypted data have been devised, but
certain security solutions may not be used for smart devices within
an IoT-cloud, and this is due to the fact that such solutions are not
lightweight. In this paper, we present a lightweight scheme that
provides the privacy-preserving biometric image search, which is a
special case of content-based image retrieval (CBIR). A fusion of
homomorphic encryption, cosine similarity and garbled
circuit-based approaches are adopted in our scheme to achieve the
best performance while simultaneously ensuring the privacy of the
biometric image, and protection of any data access patterns and the
user 抯 input query. We conduct several empirical analyses on real
image collections to demonstrate the performance and security of
our work.
Abstract:
Session:
CPT01-03, Paper No.2888
Title:
Geographical Topology-enabled IPv6 Addressing Framework for
Connected Low Power Networks
Li, Longjiang; Yang, Jianjun; Mao, Yuming;
Authors:
Abstract:
The vision behind the Internet of Things (IoT) is that any things
that need communications, are universally connected, and
becoming an integral part of the future Internet. However, the
existing of Low Power Networks (LPN) consisting of
battery-powered nodes poses great challenge for traditional
addressing and routing protocols. The paper proposes a
geographical topology-enabled IPv6 addressing framework
(gIPv6), which defines a geographical IPv6 adaption layer for
enabling the interconnection between Lower power networks and
the global IPv6 Internet at any access point. IPv6 addresses for
36
LPNs are generated based on the short format of geographical
location information, so the proposed scheme can potentially
extended IPv6 to various networking scenarios with energy
restriction and resource limitations.
Session:
CPT01-04, Paper No.2774
Title:
An Object Tracking Algorithm Combining Spatial Structure and
Motion Continuity
Hu Xiuhua; Guo Lei; Li Huihui;
Authors:
Abstract:
To deal with the tracking drift problems caused by drastic object
appearance change in complex scene, the paper proposes a robust
tracking algorithm based on the sparse representation. It designs an
optimized objective function with the spatial structure constraint.
And then, with the Lagrange multiplier theory and accelerate
proximal gradient approach, the coefficient of object template and
candidate with the spatial information is obtained. In addition, the
histogram intersection theory is exploited to computer the similarity
between candidate and template. Finally, the template update
scheme about when to manage updating and how to realize the
strategy is presented, which combines the spatial structure
information together with motion continuity and enables to tackle
appearance change effectively. Experimental results on challenging
benchmark datasets demonstrate that the novel algorithm performs
favorable against several state-of-the-art methods.
Date:
August 7, Sunday, 0900-1230, Room AC2 2310
Session:
CPT02 Information and Data Security
Session:
CPT02-01, Paper No.2851
Title:
Image Quality Assessment Based on Structure Similarity
Authors:
Wu, Jun;
Abstract:
Image Structure Similarity (SSIM) and its extended versions have
been successfully used in image quality assessment. In this paper,
we propose a similarity metric to evaluate image quality by
extracting image sparse structure from natural scene image. A
sparse dictionary trained on the data contains the basic elements for
representing sparse structures, and it is insensitive to different
databases. The sparse structure similarity of testing image pairs is
calculated with this dictionary. The final score of image quality is
Li, Huifang; Xia, Zhaoqiang;
37
obtained by counting the changed number of values in sparse
structure vector between distorted image and reference image.
Experiments demonstrate that the proposed method could assess
image quality effectively and outperform existing SSIM based
methods.
Session:
CPT02-02, Paper No.2784
Title:
Secure and Efficient E-health Scheme Based on the Internet of
Things
Abduljabbar, Zaid Ameen; Jin, Hai;
Ibrahim, Ayad;
Hussien, Zaid Alaa; Hussain, Mohammed Abdulridha;
Abbdal, Salah H.; Deqing Zou
Internet of Things is a new generation of network service platform
that allows everyday objects including small devices in sensor
networks to be capable of connecting to the internet. Such an
innovative technology can lead to positive changes in human life.
An e-health service based on the Internet of Things has great
potential. The popularity of intelligent mobile medical devices,
wearable bio-medical sensor devices, cloud computing, and big
data analysis have dramatically changed the usage pattern and
business rule of e-health services based on the Internet of Things.
The rapid development of e-health services based on the Internet of
Things poses risks in security and privacy. In this study, we
propose a new security scheme for an e-health service. This scheme
allows both the local base station and hospital cloud server to
authenticate each other, to secure the collection of health data. Our
scheme uses the crypto hash function to check the integrity of
authentication exchanges. In addition, it provides m tual
authentication with anonymity and terminates with a session key
agreement between each local base station and the hospital cloud
server. To assess our scheme, we conduct performance and security
analysis. Results show that our scheme is secure, lightweight, and
resistant to different types of attacks.
Authors:
Abstract:
Session:
CPT02-03, Paper No.2897
Title:
Multiple scaling factors based Semi-Blind Watermarking of
Grayscale Images using OS-ELM Neural Network
Rajpal, Ankit; Mishra, Anurag; Bala, Rajni;
Authors:
Abstract:
In this paper, a multiple scaling factor based SemiBlind
watermarking scheme for grayscale image watermarking using
Online Sequential Extreme Learning Machine (OS-ELM) is
38
proposed. Four-level DWT is applied on three standard test images
of size 512 * 512 . LL4 sub-band coefficients are chosen for
watermark embedding. OS-ELM is initially tuned with a fixed
number of training data used in its initial phase and size of data
block learned in each iteration. The training set is developed by
combining the quantized and desired LL4 sub-band coefficients.
This training set is fed to OS-ELM for training. The output of
OS-ELM is a sequence of predicted coefficients which is sorted and
divided into three equal parts. Multiple Scaling Factor (MSF)
scheme is used for embedding a binary watermark in a Semi-Blind
manner. Results show good visual quality of signed images and
good similarity between the extracted and original watermarks from
signed and attacked images. The PSNR and BER are found to be
well optimized both in case of signed and attacked images. The
time for embedding and extraction is in milliseconds, which makes
the proposed technique effective for developing real time
watermarking applications.
Session:
CPT02-04, Paper No.2918
Title:
An Educational Model Based on Knowledge Discovery in
Databases (KDD) to predict Learner's Behavior Using
Classification Techniques
Comendador, Benilda Eleonor V.; Rabago, Lorena W.;
Tanguilig Iii, Bartolome T.;
This paper examined the students?history of accessing the
university Learning Management System (LMS) data.
Classification techniques are used to build an educational model
based on Knowledge Discovery in Databases (KDD) to predict
learner's behavior. It identified the most valuable influencer for
learning outcomes of the learners; it generated prediction models
using the J48 decision tree algorithm and Multiple linear
regression; and it determined how likely is a Distance Education
(DE) learners to get a mark of "Passed"in a certain course which
may offer vital information to the teachers and university
administrators for program planning and learner support strategies.
The proponents conducted experiments to predict the students?final
rating based on their history of accessing the data in the university
LMS. Based on the derived model, the score obtained from the
participation in the online activities was the most valuable
influencer for learning outcomes of the DE learners. Thus, the
successful completion of the program depends on how the students
interact with the activities posted in the LMS. As such, the
Authors:
Abstract:
39
generated model may be utilized to identify DE learners who need
early intervention for better academic achievements and meaningful
online learning environment.
Session:
CPT02-05, Paper No.2700
Title:
An Android Behavior-Based Malware Detection Method using
Machine Learning
Chang Wei-Ling; Sun Hung-Min; Wu Wei;
Authors:
Abstract:
In this paper, we propose An Android Behavior-Based Malware
Detection Method using Machine Learning. We improve an
Android application sandbox, Droidbox, by inserting a
view-identi?cation automatic trigger program which can click
mobile applications in the meaningful order. Taking advantage of
Droidbox result, we collect the behavior such as network
activities, ?le read/write and permission as the feature data and use
different machine learning algorithms to classify malware and
evaluate the performance. We use a large number of malware and
normal application samples to prove that our method has high
accuracy
Date:
August 7, Sunday, 1330-1500, Room AC2 2312
Session:
SPG02 Radar and Sonar Systems
Session:
SPG02-11, Paper No.2853
Title:
A method for moving target detection based on airborne
multi-aspect SAR system
Zhao Xin; Liao Xin; Ding Zegang; Gao Wenbin;
Authors:
Abstract:
Conventional methods of moving target detection, such as DPCA,
GMTI have difficulties in detecting low speed target and showing
the movement route.
Multi-aspect airborne SAR can illuminate the same scene from
different directions to get all-round scattering features of scene. In
this paper, a method of moving target detection based on
multi-aspect SAR images is proposed. This method can extract the
change part from multi-aspect images to estimate the velocity and
show the movement route. There is geometric correction, image
registration and change detection along the process. As the key part
of the detection, an improved image registration method named
WT-SIFT is proposed, which combines Wavelet Transform (WT)
with Scale-Invariant Feature Transform(SIFT). Finally, the validity
40
of this method of moving target detection is demonstrated by an
airborne multi-aspect SAR experiment.
Session:
SPG02-12, Paper No.2885
Title:
Parameters estimation based on moments and Nelder-Mead
algorithm for compound-Gaussian clutter with inverse Gaussian
texture
Jian Xue; Shuwen Xu;
Authors:
Abstract:
Parameters estimation is important for improving the detection
performance of detectors. In this paper, we propose a novel
estimation method for the parameters of compound-Gaussian
distribution with inverse Gaussian texture. We obtain the moments
estimation expressions of parameters of compound-Gaussian
distribution with inverse Gaussian texture and set the estimation
results of moments estimation method as the initial values of
Nelder-Mead direct search method. Then, a nonlinear minimization
problem about estimation parameters is designed and the estimation
values of parameters are obtained via utilizing Nelder-Mead
algorithm to solve it. The experimental results about estimation
performance of the proposed method show the proposed method
has high estimation accuracy and low computational complexity.
Session:
SPG02-13, Paper No.2919
Title:
FM-based multi-frequency passive radar system
Authors:
Zhang Chenqi;
Abstract:
Due to the obvious advantages in terms of aerial surveillance and
anti-jamming, passive radar system (PRS) has been widely studied
over the last years. However, a considerable part of the research on
the PRS has been carried out in the laboratory environment and few
practical results have been disclosed. In this paper, the design and
implementation of an ongoing frequency modulated (FM)-based
multi-frequency PRS, which can exploit up to eight carrier
frequencies to detect, locate and track targets, is briefly introduced.
For the considerations of the portability and the data extension, the
whole system is developed based on commercial shelf products,
thereby providing great convenience for the users and developers.
Currently, the system can realize the real-time processing and data
association of eight carrier frequency signals in the practical
application rather than under the laboratory conditions.
Furthermore, several experiments including simulations and
Wu Yong;
Wang Jun; Luo Zhen;
41
outfields have been conducted to evaluate the performance of the
proposed system.
Session:
SPG02-14, Paper No.2949
Title:
Weighted Knowledge-aided Space Time Adaptive Processing in
Heterogeneous Environments
Lin Xuefang; Wang Tong; Wu Jianxin; Wu Yifeng;
Authors:
Abstract:
Since training samples are not always identically distributed with
the clutter in the cell under test (CUT) in heterogeneous clutter
environments, which lead to an inaccurate estimate of clutter
covariance matrix (CCM), the performance of space time adaptive
processing (STAP) degrade significantly. In order to improve the
performance of STAP, we propose a robust weighted
knowledge-aided (KA) STAP algorithm. Unlike the same weights
used for sample covariance matrix estimation, the presented
algorithm uses different weights on training samples for CCM,
where the weights are developed based on the similarities between
the a priori covariance matrix of the CUT and that of the training
data. The algorithm is capable of measuring the effect of
heterogeneous samples on CCM more properly, and then we obtain
a covariance matrix which reflects the clutter property of CUT
more accurately. As a result, the performance of weighted
KASTAP is better than conventional STAP in clutter suppression.
Experimental results using the real data verify the effectiveness of
the proposed method.
Session:
SPG02-15, Paper No.2951
Title:
Improved Accuracy of Estimated Covariance Matrix With A Novel
Approach Based on STAP
Tao Fuyu; Wang Tong;
Wu Jianxin;
Li Bowen
Authors:
Abstract:
The performance of space-time adaptive processing (STAP) will
suffer severe degradation when the training data is contaminated by
certain part of potential desired signal component, especially in the
condition of the power of the target-like signal spills over the range
gate due to the effect of the pulse-compression. To overcome this
problem, a novel target-like signal reconstruction method
depending on the estimation of the amplitude and phase of the
target-like signal from the receiving signal containing clutter and
noise components is proposed. Consequently a set of purer signals
is achieved as the training samples to estimate the clutter and noise
covariance matrix of the cell under test (CUT) and the terrible
42
target processing output of the conventional algorithm is modified,
leading to a better performance of STAP. Theoretical analysis and
simulation results proved the effectiveness of our suggested
method. Index Terms—STAP, target-like signal, covariance
matrix, heterogeneous environment, training samples.
Session:
SPG02-16, Paper No.2874
Title:
Control of the Error Signals in Negative Correlation Learning
Authors:
Liu, Yong;
Abstract:
Negative correlation learning has been proposed to create a set of
negatively correlated artificial neural networks (ANNs) in a
committee machine. In negative correlation learning, the error
signals for each ANN on a given data are not only decided by the
error differences between the output of ANN and the targets. Two
terms are optimized at the same time. The first one is to minimize
the error between the output of each ANN and the target output on
the given data. The other one is to maximize the difference between
the output of the ensemble and the output of each ANN on the
given data. From the point of view on the
bias-variance-covariance trade-off, the minimization of the first
term would decrease the bias while the maximization of the second
term would reduce the sum of bias and variance. In order to balance
well among bias, variance and covariance, error signals in learning
should be well adjusted. On one hand, when the learning would
force itself to be closer to the ensemble, an individual ANN would
choose to learn less so that the learning on that direction would be
disencouraged. On the other hand, when the learning would help
itself to be more different to the ensemble, an individual ANN
would let itself to learn more so that the learning on that direction
would be encouraged. A new version of negative correlation
learning based on such error signal adjustment have been
implemented in this paper. Experimental results were carried out to
show how the error signal adjustment would help to achieve the
better generalization.
Session:
SPG03-01, Paper No.2708
Title:
Authors:
A Robust Adaptive Beamformer Based on Desired Signal
Covariance Matrix Estimation
Li Wenjing; Zhang Yuping; Chen Qiang; Jin Cheng
Abstract:
In order to remove desired signal component from the sample
43
covariance matrix, a novel robust adaptive beamformer is proposed
based on desired signal covariance matrix estimation. The desired
signal direction is first calculated based on the first-order Taylor
series approximation, and then the desired signal’s steering vector
and power are estimated by using iterative robust minimum
variance beamforming, respectively. After above two processing,
the desired signal covariance matrix can be estimated. Furthermore,
the interference-plus-noise covariance matrix can be reconstructed
by subtracting the desired signal covariance matrix from the sample
covariance matrix. Finally, simulation results demonstrate that the
proposed algorithm is robust against steering vector mismatches
resulted from gain and phase perturbation as compared to other
beamformers.
Session:
SPG03-02, Paper No.2737
Title:
Micro-Doppler Extraction from Scatterer Phase in ISAR Image
Authors:
Zhang Chaojie; Li Feng; Gao Jing; Yang Mingyuan; Long
Teng;
Translation trajectory is approximated by Chebyshev polynomial to
improve approximation accuracy under low signal-to-noise ratio.
The parameters in the polynomial are estimated by matching
pursuit (MP). The operation of translation parameters estimation is
performed in frequency domain before pulse compression. After
compensation of translation and rotation, micro-Doppler is
extracted from the result of motion compensation based on
vibration model. Simulation and experiment data are used to testify
our method.
Abstract:
Session:
SPG03-03, Paper No.2739
Title:
ISAR Motion Compensation Based on Matching Pursuit with
Chebyshev Polynomials under Low SNR
Gao Jing; Li Feng; Wang Chao; Long Teng;
Authors:
Abstract:
Targets of inverse synthetic aperture radar (ISAR) are
non-cooperate and the motion compensation should be performed
first. This paper proposes a method for ISAR motion compensation.
In range-frequency domain, the motion of imaging target can be
modeled as Chebyshev-polynomial phase function that is an
orthogonal polynomial and has more approximation accuracy than
Taylor polynomial. With pulse compression, the data are
transformed into range frequency domain. The parameters in
polynomial are estimated by matching pursuit (MP). Different from
44
general treatments, simulated annealing algorithm is introduced
into MP. And parameters are estimated in continuous field. The
algorithm estimates the motion parameters before range
compression and avoids the loss of pulse compression. Simulations
testify that the proposed method work better under low SNR than
methods based on entropy minimization or contrast maximization.
Stepped-frequency waveforms with phase coding in subpulses are
used in our experimental system. Wide-band signals are
synthesized by narrow-band subpulses, which could obtain
high-resolution range resolution. To acquire the similar cross-range
resolution, more coherent integration interval is needed. Imaging
experiments that testify our method also perform well in this case.
Session:
SPG03-04, Paper No.2821
Title:
A High-gain, Third-order Analogue Signal Processing ASIC for
DC-coupled CdZnTe Detectors
Wang, Jia; Su, Lin; Wei, Tingcun; Zheng, Ran; Wei,
Xiaomin; Hu, Yann;
In order to read out the signal of CdZnTe detectors, this paper
presents a high-gain, third-order analogue signal processing
application specific integrated circuit (ASIC). The charge generated
in detectors can be amplified and shaped by this circuit. Dual-stage
charge sensitive amplifier and baseline holder are utilized to
compensate the leakage current from DC-coupled detectors. A
novel shaper is proposed to improve the output amplitude and
achieve high gain. A high-order shaper in our previous work is also
presented for comparison. The proposed ASIC has been designed
and verified in a standard commercial 2P4M 0.35μm CMOS
process. The die area of one channel is 975 μm × 142 μm. The gain
is 185 mV/fC at the peaking time of 1 μs. The peaking time can be
adjusted from 1 μs to 3 μs. The maximum leakage current of 5 nA
can be compensated.
Authors:
Abstract:
Session:
SPG03-05, Paper No.2834
Title:
Fast MUSIC algorithm for joint DOD-DOA estimation based on
Gibbs Sampling in MIMO Array
Shi Wentao; He Chengbing; Huang Jianguo; Zhang Qunfei;
Authors:
Abstract:
Multiple signal classification (MUSIC) algorithm has been used for
joint Direction of Departure (DOD) and Direction of Arrival
(DOA) estimation in Multiple Input Multiple Output (MIMO)
array. It has shown excellent angle estimation performance.
45
However, the two dimensional angle peaks searching of MIMO
MUSIC algorithm renders high computational complexity. In order
to resolve this problem, a fast MIMO MUSIC algorithm for joint
DOD-DOA Estimation based on Gibbs Sampling is proposed. The
proposed algorithm combines Markov Monte Carlo method with
MIMO MUSIC estimator. Firstly, the power of the MIMO MUSIC
spectrum function is regarded as the target distribution up to a
constant scalar, then the Gibbs sampler sample from the scalar, and
the joint DOD-DOA estimation can be achieved from the linger
position. Simulation results show that the proposed method not
only keeps the similar DOA estimation performance which is
achieved by the MIMO MUSIC algorithm, but also reduces the
computational complexity.
Date:
August 7, Sunday, 1330-1700, Room AC2 2513
Session:
SPX2- Fractional Signal Processing
Session:
SPX2-01, Paper No.2893
Title:
Discrete Windowed Linear Canonical Transform
Authors:
Zhang Qingyue;
Abstract:
In this paper, we study discrete windowed linear
canonical transform. we first provide several necessary conditions
for discrete windowed linear canonical transform being a frame.
Then we give a sufficient condition for discrete windowed linear
canonical transform being a frame. Finally, we derive a necessary
and sufficient condition for discrete windowed linear canonical
transform being a Riesz basis.
Session:
SPX2-02, Paper No.2907
Title:
A Multi-focus Image Fusion Method Based on Linear Canonical
Transform
Xie Yan-An; Guo Yong; Li Bing-Zhao;
Authors:
Abstract:
In this paper, the self-linear canonical functions (SLCFs) based on
linear canonical transform (LCT) are discussed and proposed. We
found that the SLCFs can be used to decompose an image into M
complex images. Based on this property, a novel multi-focus image
fusion method is proposed in this paper. The simulations are carried
out to show the importance of parameters in application of the
SLCFs decomposition. According to the simulation results, the
46
proposed fusion method with appropriate parameters can improve
the quality of fused images.
Session:
SPX2-03, Paper No.2920
Title:
A Low-complexity design of OFDM modulation based on ZFFT
Authors:
Wang, Wei;
Abstract:
Underwater acoustic communications based on Orthogonal
Frequency Division Multiplexing (OFDM) are realized usually in
high frequency for high communication rate, and the channel and
hardware conditions make our communication band is limited.
Conventional modulation of these OFDM scenarios are FFT, it will
face the problem of oversize FFT number and large computation
complexity in the conditions of band-limited and high frequency.
ZFFT (Zoom-FFT) is one method of spectrum zoom technique,
which decreases the computation complexity and FFT number. In
this paper, we proposed an OFDM modulation scheme based on
ZFFT, and the simulations show that this scheme has lesser
computation complexity and FFT number. The trial results of
DaLian16, which is in March, 2016 show that ZFFT-OFDM has the
good performance with very low bit-error-rate (BER) on the range
of 1km.
Session:
SPX2-04, Paper No.2926
Title:
The Fast Algorithm for Two-sided Correlation Transformation
Based on Propagator Method
Ren Xiaohuan; Feng Haihong;
Authors:
Abstract:
Guo, Longxiang;
Yin, Jingwei; Sheng, Xueli;
In order to reduce the computational burden of the algorithm for
two-sided correlation transformation, this paper proposes a fast
algorithm based on the orthogonal propagator. Compared with the
two-sided correlation transformation algorithm, the new method
uses the propagation operator instead of the eigenvalue
decomposition to estimate the feature vector of the noise subspace.
There is no need to build the focusing matrix, therefore the
computation complexity is significantly reduced for wide-band
processing. Furthermore, theoretical analysis shows that there is no
loss in the estimation performance since it implicitly concentrates
the energy of each frequency bin in the process of solving the
coherent process. The simulation results verify the benefit of the
new method under the white Gaussian noise assumption.
47
Session:
SPX2-05, Paper No.2965
Title:
Fractional Fourier transform estimation of simple randomly
sampled signals
Xu, Liyun; Zhang, Feng;
Authors:
Abstract:
Random sampling as a special kind of nonuniform sampling has
been used as a digital alias-free signal processing method in
analog-to-digital conversion. This paper presents the fractional
Fourier transform estimation of nonstationary signals based on the
simple random sampling. The spectrum estimation is proved to be
unbiased. The variance of it is calculated to show the estimation
effect. The effects of sampling jitters and observation
errors on performance of the fractional spectrum estimation are
analyzed. Among them, the sampling jitters introduce bias to the
estimation. The bias can be compensated by the new defined
fractional characteristic function. All of the analysis results are
simulated and verified in the last numerical experiments.
Index Terms—Fractional Fourier transform, random sampling,
spectrum estimation, sampling jitters, statistical analysis.
Session:
SPX2-06, Paper No.2983
Title:
Specific Emitter Identification based on Nonlinear Complexity of
Signal
Xie Yang; Wang Shilian; Zhang Eryang; Zhao Zilu
Authors:
Abstract:
Specific Emitter Identification (SEI) is to identify the emitters with
various RF fingerprints, originated from the nonlinearity of the
emitter power amplifiers. This paper firstly develops an improved
Approximate Entropy (imApEn) algorithm, by modifying the
tolerance interval of Approximate Entropy (ApEn), to extract the
nonlinear complexity of the signals as a new steady-state RF
fingerprint. Then a novel identification algorithm is proposed based
on the combination of the EMD and the imApEn, which utilizes
some independent RF fingerprints to form multi-dimensional
feature space and then the emitter classification is performed by the
support vector machine. Additionally, the noise immunity and
robustness of the imApEn are evaluated via Logistic map with
different parameters. Computer simulations are conducted under
additive white Gaussian noise as well as impulsive noise and the
results demonstrate that the proposed algorithm significantly
outperforms the energy-entropy algorithm and correlation
algorithm based on the Hilbert-Huang Transform.
48
Session:
SPX2-07, Paper No.2991
Title:
Detection and extraction of marine target with micromotion via
short-time fraction Fourier transform in sparse domain
Chen Xiaolong; Guan Jian; Yu Xiaohan; Zhang Jian
Authors:
Abstract:
The micro-Doppler (m-D) signatures can describe the refined
motion characteristics of a marine target, which are helpful for
target detection and recognition. Due to the complex sea clutter and
m-D of marine target, traditional detection methods using
time-frequency analysis have great limitations on accuracy and
computational cost. In this paper, the micromotion signal model of
sea surface target is firstly established according to the length of
observation time. Then a novel detection and m-D extraction
method is established via sparse time-frequency analysis, i.e.,
short-time fractional Fourier transform in sparse domain
(SSTFRFT). The definition and calculation are described in detail.
Finally, experimental results using real radar data, i.e., S-band
searching radar (SSR) data , indicate that the proposed method can
achieve excellent detection performance and lower computational
cost with higher accuracy compared with the traditional methods.
Session:
SPX2-08, Paper No.2994
Title:
Novel Method of Estimating Instantaneous Frequency Based on the
STFrFT
Deng Bing; Hei Hong-Wu; Zhang Yun; Su Feng;
Authors:
Abstract:
Instantaneous frequency estimation plays an essential role in such
applications as target detection, emitter recognition and so on. In
order to promote Instantaneous Frequency estimation precision
based on the Short-Time Fractional Fourier Transform in low SNR,
the peak tracking technology with Hidden Markov Model is used.
After the Hidden Markov Model is established for the Short-Time
Fractional Fourier Transform of the signal, the optimal path of
frequency shift can be found by observing the energy spectrum of
signal’s Short-Time Fractional Fourier Transform. Thus, the
estimation error of instantaneous Frequency can be revised further.
The simulation shows that the proposed method can achieve higher
precision.
Session:
SPX2-09, Paper No.3004
Title:
Joint Time-Frequency Offset Detections Using the Linear
Canonical Transform
49
Authors:
Zhang Yan-Na;
Abstract:
In this paper, a method to detect joint time-frequency offset is
proposed based on the linear canonical transform. According to the
fundamental properties of this transform, a parametric correlation is
introduced, which can be regarded as the generalization of methods
based on correlation and other transforms. Besides, its maximum
can be identified with a line structure in the time-frequency plane.
With the advantage of parameters' freedom in the linear canonical
transform, some lines containing the time delay and frequency
offset in the measured signals can be intersected in the
time-frequency plane. And the intersected point is exactly joint
time-frequency offset needed to detect out. The theoretical and
practical aspects of this detection method are discussed in the
paper.
Session:
SPX2-10, Paper No.2941
Title:
An improved compressed sensing reconstruction algorithm used in
sparse channel estimation
Su, Wei; Huang, Haoqian; Xia-Lin Jiang
Authors:
Li Bing-Zhao;
Abstract:
Compressed sensing is a new method of data acquisition and
processing, which can accurately restore the original data from a
few observation samples. In this paper, based on this theoretical
framework, the compressed sensing reconstruction algorithm
named Discrete Fourier transform Matching Pursuit algorithm
(DFT-MP) were proposed for sparse channel estimation. It is
suitable for sparse underwater acoustic channels. We analyzed and
compared our proposed algorithm with other signal reconstruction
algorithms, such as Matching Pursuit algorithm (MP), Orthogonal
Matching Pursuit algorithm (OMP), and Sparse Bayesian Learning
algorithm (SBL). From the simulation results, the Discrete Fourier
transform Matching Pursuit algorithm outperforms other algorithms
which we mentioned above.
Date:
August 7, Sunday, 1330-1500, Room AC2 2306
Session:
COM03 Wireless Communications and Networks
Session:
COM03-12, Paper No.2962
Title:
Antenna Selection with User Scheduling in Traffic-Aware Cellular
Two-Way Relay Networks
50
Authors:
Shukla, Mahendra K.; Yadav, Suneel;
Abstract:
We investigate the outage performance of a cellular multiuser
two-way relaying networks (TWRNs), where a multiantenna base
station (BS) communicates with one of the several single-antenna
mobile stations (MSs) via a single-antenna relay terminal. We
employ antenna selection at BS coupled with MS selection to
maximize the end-to-end signal-to-noise ratio (SNR). In view of
asymmetric traffic requirements at the end terminals, we derive the
tight closed-form overall outage probability (OOP) expression of
the considered system under Rayleigh fading. We also derive an
asymptotic outage behavior in high SNR regime to reveal the
impact of asymmetric traffic and system parameters on the
achievable diversity order. Moreover, we formulate an optimization
problem of relay location to minimize the OOP of the considered
system. Numerical and simulation results corroborate our
theoretical analysis and findings, and also demonstrate that the
optimal relay location has a significant impact on the OOP
performance under asymmetric traffic demands.
Session:
COM03-13, Paper No.2967
Title:
The precoder design with covariance feedback for information and
energy transmission systems
Zhou Wen; Deng Dan; Shao Ziyun;
Authors:
Purohit, Neetesh;
Abstract:
For the multi-input multi-output (MIMO) information and energy
transmission system, the precoder design with only channel
statistical information—channel covariance feedback is considered.
Based on such a criterion in which the system information rate is
maximized meanwhile satisfying the minimum energy requirement,
the precoder design problem is formulated as a semi-definite
programming (SDP), and further transformed to a dual problem.
We propose a decent algorithm to solve this problem and
demonstrate its convergence by computer simulations. Besides, the
trade-off between the information and energy transmission, known
as the boundary of the rate-energy (R-E) region, is also presented.
Compared with the isotropic transmission, the R-E region with the
proposed precoder is much broader.
Session:
COM03-14, Paper No.2977
Title:
An Improved TDMA Access Protocol in LEO Satellite
Communication System
51
Authors:
Luan Peng;
Abstract:
In the buoy satellite communications system based on LEO satellite
access, to improve channel utilization under different traffic load
situation, a novel competitive access protocol named FC-TDMA
(Fixed Competitive TDMA) is proposed in this paper. The protocol
takes advantage of both TDMA and S-ALOHA, allocates unique
user ID for every node, and adjusts transmission rate according to
network load, so that the number of slots in a super frame is
changed. Subsequently, nodes preempt channel in specific slot, the
network can gain the largest channel utilization. The article verifies
the performance of the improved protocol with OPNET platform,
the results show that FC-TDMA has higher channel utilization than
S-ALOHA and TDMA under any traffic load situation.
Session:
COM03-15, Paper No.2986
Title:
A Miniaturized Frequency Synthesizer System Design Based on
ADF4350
Cao Hui; Qu Yu;
Authors:
Zhu Jiang; Gao Kai;
Abstract:
A small sized, light weighted receiver local oscillator based on
integrated PLL chip ADF4350 was designed to fit into airborne
equipment of UAV datalink. Integrated with a phase detector and a
voltage controlled oscillator, the phase-locked loop (PLL)
frequency synthesizer was implemented by using an external loop
filter, reference frequency and control circuit to meet the technical
and size requirements. Experiments demonstrated the stability and
reliability of the local oscillator and proved its value on practical
application.
Session:
COM03-16, Paper No.3003
Title:
The Neighbor Channel Sensing Capability for Wireless Networks
Authors:
Qu Qiao; Li Bo; Yang Mao; Yan Zhongjiang; Zuo Xiaoya;
Zhang Yongping;
In wireless networks, the capability of sensing the received power
variation on wireless channel is named as channel sensing
capability (CSC). However, as wireless networks become
increasingly dense, it decreases the reliability of multiuser
transmission if only CSC is simply used for indicating channel
state. Thus, in this paper, a novel conception named as neighbor
channel sensing capability (NCSC) is proposed to describe the
capability of nodes for sensing the channel state of their neighbor
Abstract:
52
nodes. We prove that the consistency of NCSC, defined as the
variable of the difference of the received power of two neighboring
nodes, obeys a Gaussian distribution when the location of all
transmitting nodes obeys a homogeneous Poisson point process.
Moreover, we derive the mean and variance of the consistency of
NCSC, and give the expression of NCSC to accurately describe the
capability of sensing the channel state of neighbor nodes. The
simulation results show that NCSC can efficiently indicate and
validate our analysis model and derivation.
Date:
August 7, Sunday, 1530-1700, Room AC2 2306
Session:
SPX2- Fractional Signal Processing
Session:
SPX2-11, Paper No.3005
Title:
A Processing Scheme for Long Integration Time Passive Radar
based on CZT and FRFD-Sharpness
Bai Xia; Feng Yuan; Zhao Juan;
Authors:
Abstract:
In this paper a problem of extending integration time in passive
radar is addressed. To compensate range and Doppler walk, a
processing scheme based on chirp-z transform (CZT) and fractional
Fourier transform domain (FRFD)-sharpness is proposed: (1)
divide the signal into snapshots; (2) perform Fourier transform (FT)
and matched filtering on each snapshot; (3) perform CZT across the
snapshots; (4) perform inverse FT (IFT) on each snapshot; (5)
perform IFT and fractional Fourier transform (FRFT) across the
snapshots; (6) obtain the final radar image of moving targets by
sharpness metrics. Experiment result by using DTV-based passive
radar data has shown that the processing scheme can effectively
mitigate range and Doppler walk, and it allows meaningful
increases to the integration time.
Session:
SPX2-12, Paper No.3006
Title:
Time-Delay Estimation with Noise Suppression for LFM Signals
Using Fractional Wavelet Transform
Shi Jun; Liu Xiaoping; Deng Yiqiu; Han Mo; Zhang
Naitong;
The linear frequency modulated (LFM) signal is commonly used in
radar, sonar and communications. In some applications, time-delay
estimation of LFM signals plays an important role. In this paper, an
efficient algorithm for time-delay estimation of LFM signals based
Authors:
Abstract:
53
on the fractional wavelet transform (FRWT) is presented. The
algorithm is implemented by the FRWT denoising and the delay
property of the fractional Fourier transform. The validity of the
proposed algorithm is demonstrated via simulations.
Session:
SPX2-13, Paper No.3007
Title:
Theory and methods for Sampling in Fractional Domains
Authors:
Tao Ran; Miao Hongxia; Ma Jinming;
Abstract:
The fractional Fourier transform (FRFT) and linear canonical
transform (LCT) have been shown to be one of powerful tools in
signal processing community. While sampling is a fundamental and
core topic in the field of signal processing. The research of
sampling theory and methods in FRFT and LCT domains received
much interests in recent years. In this paper, we review the
developments and research trends of sampling theories and
methods associate with FRFT and LCT.
Session:
SPX2-14, Paper No.3008
Title:
Chirp images in 2-D fractional Fourier transform domain
Authors:
Lu Ming-Feng;
Abstract:
Chirp signals are very common in radar, communication, sonar, and
etc. Little is known about chirp images, i.e., 2-D chirp signals. In
fact, such images frequently appear in optics and medical science.
Newton’s rings fringe pattern is a classical example of the images,
which is widely used in optical metrology. It is known that the
fractional Fourier transform (FRFT) is a convenient method for
processing chirp signals. Furthermore, it can be extended to 2-D
fractional Fourier transform for processing 2-D chirp signals. It is
interesting to observe the chirp images in the 2-D fractional Fourier
transform domain and extract some physical parameters hidden in
the images. Besides that, in the FRFT domain, it is easy to separate
the 2-D chirp signal from other signals to obtain the desired image.
Session:
SPX2-15, Paper No.3009
Title:
The Scattering Analysis of Elastic Wave Propagation Control
Based on Fractional Fourier Transform
Lu Xiangyang; Guo Qiang; Wang Fengge; Guo Yanqing;
Authors:
Abstract:
Wu Jin-Min;
Zhang Feng;
Tao Ran;
Due to the approximate design method itself, and the impedance
matching material parameters, and requirements of dielectric
54
materials are kept intact, etc, the scattering effect is produced when
the elastic wave spread in the design of material with the
transformation method. The result of design focuser homogeneous
elastic wave approximation is as the research object, fractional
Fourier transform (FRFT) is presented to anal size the scattering
effect, this method is the sensitivity of the frequency change. This
analysis could intuitively, quantitatively reflect the frequency
variation that caused by scattering effect, and reduce the blindness
of the cognition of the degree of scattering, and provide the basis
for the design the material medium parameters simplify.
Date:
August 7, Sunday, 1330-1700, Room AC2 2310
Session:
CPT03 Embedded System Design
Session:
CPT03-01, Paper No.2723
Title:
Development and Test Evaluation of Full Authority Digital
Electronic Control System for Auxiliary Power Unit Based on
Electronic Pump
Peng Kai; Fan Ding; Yang Fan; He Miaokang; Wang Ying;
Shi Feiyun;
A full authority digital electronic control system (FADEC) is
developed for a certain helicopter auxiliary power unit with the
hydro-mechanical control system, key techniques of which such as
system construction, control schedules, fuel system based on
electronic pump are designed and implemented in detail. Functions
and performances of the FADEC system are evaluated by ground
run test, and the results show the functions of the control system are
enhanced and the performances of APU are improved remarkably
under the control of the resultant FADEC compared with the
original hydro-mechanical control system.
Authors:
Abstract:
Session:
CPT03-02, Paper No.2763
Title:
Remote Communication Interface of Embedded System Based on
10Gigabit Ethernet
Wang Fei; Hu Shanqing; Li Xingming; Wang Jie;
Authors:
Abstract:
The embedded high-speed and real-time signal processing systems
are used widely in communication, navigation, sensing,
measurement and control, etc. However, a high-bandwidth and
high-flexibility remote communication interface is important when
it comes to scenarios such as the mass data exchange between
55
industrial computers and embedded systems. The 10Gigabit
Ethernet (10GE) has been widely used as high-speed data
transmission channel within/between systems in both embedded
systems and industrial computer fields, because of its high
transmission speed, low power consumption, reliable stability and
good compatibility and other aspects of performance. In this paper,
we designed a high-bandwidth remote communication interface
between industrial computers and the core processors of the
embedded signal processing system by adopting 10GE. As is
verified by the experiments, the effective read/write bandwidth of
the interface can reach up to 4216Mbps /6640Mbps, and it can
support functions such as remote control, data interaction, program
loading and remote debugging. Moreover, the paper provides
promising references for the interactive communication among
different kinds of systems and the flexible networking of embedded
systems.
Index Terms—Embedded systems, 10Gigabit Ethernet, remote
communications, high-speed and real-time signal processing.
Session:
CPT03-03, Paper No.2777
Title:
Development and Implementation of EBGR Routing Protocol in
Cropland Based on IRIS Platform
Li, Siyu; Gao, Hongju; Wu, Dan; Li, Li;
Authors:
Abstract:
For wireless sensor networks in wide-area cropland environments,
the routing protocol would be optimal if it is scalable for wide
network coverage, energy-efficient for long network lifetime, and
adaptive with frequent topology changes. In this paper, a wireless
sensor network system with EBGR (Energy-Balanced, Greedy
forwarding Routing) protocol was developed based on Memsic
IRIS nodes and TinyOS operating system, and then implemented in
cropland for producing area monitoring. EBGR is proposed based
on the geographical routing protocols to achieve the balanced
energy consumption of routing paths while maintaining good
efficiency and scalability for a hierarchical wireless sensor network.
It uses remaining hop counts instead of Euclidean distance in
traditional greedy forwarding mechanism, combing with the
residual energy levels of nodes, to establish the path between the
origin node and the sink node. This network has been operated for
over two years, and can be flexibly reorganized and scalable to
ensure the data acquisition and transmission. One-time network
deployment can last long enough to support the full growth period
of corn or wheat. Hence, EBGR protocol proposed can be well
56
suitable for and applicable to cropland scenarios.
Session:
CPT03-04, Paper No.2812
Title:
An Embedded Signal Transmitter for UAC Based on H-bridge
Class-D Power Amplifier
Zhang Yang; Lei Kaizhuo; Zhang Qunfei; He Dengfeng;
Fan Xuchao;
The signal transmitter for underwater acoustic communication
(UAC) is a core component of underwater acoustic equipment. To
satisfy the demand of underwater acoustic transmitter for small size
and high source level, an embedded power amplifier based on
H-bridge topology and an independent matching network are
designed and implemented. The integrative performance is tested
by water pool experiment, and the feasibility and advancement are
verified. The test result shows that the prototype can reach the aim
of 184.25dB to 187.19dB emission source level and 19% of
average total electro-acoustic conversion efficiency within the
frequency range of 8~16kHz, which can meet the needs of
shipboard and embedded request at 180×120×70 (mm)3 volume.
Authors:
Abstract:
Session:
CPT03-05, Paper No.2906
Title:
A high-precision online monitoring system for power battery
Authors:
Tang, Lijun; He, Zhiwei; Su, Kaiyu; Gao, Mingyu; Liu,
Yuanyuan; Zhu, Hongjuan;
Battery management system has a very extensive application field.
This paper introduces an online system which is available for
monitoring electric current, voltage and temperature of power
battery group simultaneously. This system adopts the
microcontroller and PC as the main controllers, collects the
information like voltage, current and temperature of the battery
with battery information collection box, and then carries on highly
effective analysis of battery parameters by transmitting data to PC
through WIFI. In practice it has proved that this system can
accurately measure, record and transmit physical parameters such
as battery voltage, current and so on, in order to detect and estimate
battery status as well as divide batteries into group.
Abstract:
Session:
CPT03-06, Paper No.2928
Title:
The Design of Watt-hour Meter Verification Assembly Line Based
on CAN Bus and Ethernet
57
Authors:
Hong Ming;
Abstract:
This paper analyzes the current situation of watt-hour meter
verification and proposes a design scheme of watt-hour meter
verification line based on CAN bus and Ethernet. The verification
line adopts modular design and the whole line is made up of three
necessary verification links, namely withstand voltage
verification，initial verification and repeat verification，achieving
automatic connecting and disconnecting, automatic verification. A
computer, the assembly line central control terminal，monitors the
whole processes dynamically. Actual test results show the line’s
three links work orderly to make the verification process automatic
and effective.
Session:
CPT03-07, Paper No.2972
Title:
Security Protocol for Controller Area Network Using ECANDC
Compression Algorithm
Wu Yujing;
Chung Jin-Gyun;
Yong-En Kim; Yeon-Jin
Kim; Zheyan Piao
Controller area network (CAN) is the most extensively used
embedded network protocol in vehicles. However, CAN is
vulnerable to malicious security attacks as it enables unauthorized
access in a relatively straightforward manner. In the last ten years,
security attacks in vehicles have been increasing and reported in
several documents. In this paper, we propose a security protocol for
CAN system based on AES-128 encryption and HMAC function.
In addition, by combining with CAN data compression algorithm, it
is shown that the efficiency of the proposed algorithm can be
significantly increased. We simulate the proposed security protocol
using the CANoe software. The CAN bus load is measured using
CANcaseXL device. Experimental results show that the average
message delay with 20 ECUs is within 0.13ms and the bus load can
be reduced by 18.41% using the proposed security protocol
compared with the uncompressed message. Our results indicate that
the proposed security protocol is suitable for use in real-time
in-vehicle system.
Authors:
Abstract:
Qin Hao; Gao Mingyu;
Zeng Yu;
Session:
CPT03-08, Paper No.2771
Title:
Applying Express-Queue-Based Approach to Software Reliability
and Cost Analysis
Chang Shu-Cheng; Huang Chin-Yu; Lin Jhih-Sin;
Authors:
58
Abstract:
It is widely recognized that software development is usually highly
unpredictable and software quality may not be easily enhanced for
the finished software product. During the software development life
cycle, fault correction is typically costly and time-consuming. Thus
the measurement and assessment of the various fault correction
processes would be very important for the engineers and project
managers. In the past, the queueing theory has been used to depict
the software testing and debugging processes. Considering the
needed time of fault correction, some infinite server queueing (ISQ)
models are proposed to measure and analyze the software project.
But some researches has also considered the limited number of
debuggers and presented the finite server queueing (FSQ) models.
However, these previous works focused only on the debugging time
lag and the number of servers. If all detected faults can be classified
in advance, the fault(s) can be assigned to specific (or responsible)
developers to obtain better service. The aim of this paper is to apply
the express-queueing theoretic approach for reducing the mean
resolution time of detected faults and to support the management
activities of the software project, such as staffing, cost, utilization,
etc. The fault correction process will be modeled by the queueing
theory, and the detected faults will also be classified and dispatched
into either express queue or regular queue. Experimental results
show that the overall performance and efficiency of software
debugging process can be improved while using our proposed
approach.
Session:
CPT03-09, Paper No.2841
Title:
A ternary polarity conversion technique for fixed polarity
Reed-Muller expansions
Yu, Haizhen; Wang, Pengjun; Zhang Yuejun;
Authors:
Abstract:
the paper describes a method for combinational logical synthesis
using a ternary polarity conversion technique (TPCT) and the
Reed-Muller form over GF(3). A new algorithm is presented that
allows us to obtain the ternary fixed polarity Reed-Muller (FPRM)
expansion. The popular polarity conversion over GF(3) is obtained
by the coefficient matrix technology. This paper presents a
non-matrix operation method for FPRM expansion. The new
method allows us to build the FPRM form based on the calculation
of FPRM coefficients, and then an exhaustive-search optimization
algorithm based on Gray Code is developed to find the optimum
ternary FPRM expansion. We use the method in the reported paper
to generate ternary test functions from the MCNC benchmarks
59
circuits. The algorithm is tested on fifteen functions and the
experimental results are shown in this paper.
Date:
August 8, Monday, 0900-1030, Room AC2 2312
Session:
SPG03 Sensor Array and Multi-channel SP
Session:
SPG03-06, Paper No.2845
Title:
Research of measurement for acoustic array radiation impedance
based on curve fitting
Li Daojiang; Teng Duo; Yang Hu
Authors:
Abstract:
Mutual radiation impedance attracts more and more attention in
acoustic array research as inherent acoustic characteristic. For the
measurement of the mutual radiation impedance, the curve fitting
method is proposed based on the analysis of the relationship
between the ideal and the practical directivity patterns. Simulation
and experiments were carried out to validate the practicability of
the method. The results show that radiation impedance can be
measured quickly and accurately by the proposed method.
Session:
SPG03-07, Paper No.2849
Title:
Design of a Front-end Signal Processing Circuitry for Capacitive
Multi-touch Screens
Wei Xiaomin; Li Bo; Wei Tingcun; Wang Jia; Zheng Ran;
Authors:
Abstract:
Capacitive Multi-touch Screens are attractive for smart phone,
tablet PC, industrial monitors, 3D or 4D visualization interactions,
commercial office and so on. With the increasing size of the touch
screen, a touch prediction and window sensing (TPWS) strategy
was proposed for reducing the system costs and power
consumptions. However, the traditional front-end signal processing
circuits with charge integrating are not proper for the TPWS
strategy. This paper presents a new front-end signal processing
circuits dedicated for the TPWS touch screen systems. A charge to
digital converter (CDC) is designed to realize the functions of
charge integrating circuits and analog to digital converter (ADC) in
the traditional touch screen system for the capacitance
measurement. Combining differential input sensing and single input
sensing, both the capacitance of an intersection and the shunt
capacitance of the intersections on one electrode，that is required
for the TPWS system， can be measured with the proposed circuits.
60
The design was realized in a 0.13 μm 1.8 V/5 V CMOS process.
The area of the prototype chip is 0.087 mm2 per sensing channel.
The tests were performed with a 15-inch touch panel. The total
power consumption of the system is only about 65 mW with power
supply of 5 V, and the reporting rate of the system achieves 500 Hz
for none touch and 83 Hz for 10 touches. The proposed circuits
satisfy the requirements of the TPWS touch screen systems, and
can be also used for the other capacitive touch screen systems.
Session:
SPG03-08, Paper No.2872
Title:
Doubly Weighted Average Algorithm for DOA Estimation on UCA
with Array Failure
Shi, Guixin; Yan, Shefeng; Wu, Yongqing; Wei, Mingyang;
Authors:
Abstract:
Failed elements will destroy the array performance, therefore
methods to compensate for array element failures are important.
Generally, there are two different lines to address this problem,
reconstructing missing array element signals and reoptimize the
weights of the remaining array elements according to a desired
performance criterion. In this paper, a novel way termed Doubly
Weighted Average (DWA) algorithm, which combines Weighted
Average of Uniform Arc Arrays (WAUAA) algorithm and
Non-uniform Circle Array (NCA) algorithm, is proposed for DOA
estimation on Uniform Circle Array (UCA) with array failures. The
theoretical derivation of its property is presented. This method is
able to provide smaller Root Mean Square Error (RMSE) than
NCA and even perfect UCA method. Simulation results show that
DWA algorithm can substantially improve the DOA estimation
performance. The RMSE of DWA is at least 1.5dB less than
WAUAA, which confirms the theoretical derivation. Especially
with a small number of snapshots or a low source SNR, the
proposed method provides more accurate estimates than the other
compared methods. Furthermore, the DWA method can be used for
multiple source and two-dimensional DOA estimation, and be
expanded on the Uniform Linear Array (ULA).
Session:
SPG03-09, Paper No.2875
Title:
Sound Field Holographic Reconstruction System Based on
Nearfield Acoustic Holography
Qi Qian; Chen Hang; Zhou Biao; Jinxiang Du; Hu Yang
Authors:
Abstract:
Holographic reconstruction is an inversion method with which the
sound radiation characteristics of the sound source can be
61
reconstructed by using nearfield acoustic holography. In this paper,
the sound field holographic reconstruction method is researched
based on the sound field reconstruction model of nearfield acoustic
holography. Using MATLAB and LabVIEW virtual instrument
software platform, an integrated sound field holographic
reconstruction system is designed and implemented. The functions
include sensor array calibration, acoustic signal acquisition and
processing, sound field reconstruction, and results visualization.
The performance of the presented system was tested by
experiments in an anechoic chamber by using a sound box to
simulate the sound sources. The experimental results show that the
sound field holographic reconstruction system has high location
accuracy. Moreover, the effectiveness and practicability of the
sound field holographic reconstruction method is verified.
Session:
SPG03-10, Paper No.2950
Title:
Direction Estimation of Mixed Noncoherent and Coherent Signals
with Oblique Projector
Tao Hao; Gong Junbin; Xin Jingmin;
Authors:
Abstract:
In this paper, we investigate the direction-of-arrivals (DOAs)
estimation of a mixed noncoherent and coherent signals
impinging on a uniform linear array (ULA). The DOAs of
noncoherent and coherent signals are estimated separately, and a
new oblique projector is obtained to isolate the coherent signals
from the noncoherent ones. Compared with previous works, the
proposed method overcomes the ``saturation effect" encountered
by most differencing and oblique projection based methods where
the estimated DOAs of coherent signals have high elevated error
floors. Moreover, the computationally intensive
eigendecomposition is avoided and the numerical examples confirm
the effectiveness of the proposed method.
Date:
August 8, Monday, 1100-1230, Room AC2 2312
Session:
SPG04 Detection, Sstimation and Classification
Session:
SPG04-01, Paper No.2671
Title:
Stochastic signal detection based on changeable fractional lower
order moments in alpha stable noise
Luo Junshan; Wang Shilian; Zhang Wei;
Authors:
62
Abstract:
Non-Gaussian noises usually fail many conventional and effective
signal detection techniques including the energy detector and the
eigenvalue-based detector. The fractional lower order moment
(FLOM) based detector has proved to be useful for unknown
stochastic signal detection in α-stable distributed noises. However,
the fixed exponent prevents the improvement of its performance.
This paper presents a novel signal detection method based on
changeable fractional lower order moments in nonGaussian noise
modeled by the α-stable distribution. The proposed detector would
require the estimation of the characteristic exponent (α) and the
dispersion (γ) of the background noises, to decide a proper bound
using an empirical formula for piecewise processing. Computer
simulations and field experiments are conducted to obtain the
detection probabilities and ROC curves of the proposed detector,
against the FLOM detector and Cauchy detector, in terms of the
generalised signal-to-noise ratio and the characteristic exponent (α).
Results show that the changeable fractional lower order moment
detector significantly outperforms the FLOM based detector and
Cauchy detector for small values of α and the simple
implementation makes it an attractive solution for signal detection
in α-stable distributed noises.
Session:
SPG04-02, Paper No.2701
Title:
Limited Intervention Collaborative Decision-making of MAV/UAV
Team based on FCM
Chen Jun; Xu Jia; Ding Lin; Zhong Linhui;
Authors:
Abstract:
Usually it's feasible for Unmanned Aerial Vehicle (UAV) to take
the responsibilities of target detection, surveillance,
reconnaissance and positioning. However, when the battlefield
environment is rather complex, cooperative operation becomes
necessary. Suppose there are two types of UAV in the battlefield
-reconnaissance UAV(R-UAV) and Unmanned Combat Aerial
Vehicle (UCAV), based on fuzzy cognitive map (FCM), this paper
firstly builds UAV’s autonomous attack decision-making model.
However, when UAV cannot make certain decision because of
self-limiting, Manned Aerial Vehicle (MAV) will make
intervention. Then this paper designs three levels of limited
intervention collaborative decision-making mechanism. By adding
auxiliary decision information or adjusting decision threshold,
UAV can make a new decision. Finally, simulation results indicate:
under special conditions, UAV can make certain decisions. When
UAV’s autonomous decision is “uncertain”, MAV’s limited
63
intervention can help UAV regained a certain decision .This type
of decision-making mechanism not only plays full use of UAV’s
autonomy, but also reduces MAV’s control burden, decreases the
frequent communication in decision-making process, which is very
suitable for increasingly complex battlefield environment.
Session:
SPG04-03, Paper No.2709
Title:
Euler 2D-PCA for SAR target recognition
Authors:
Liu, Su;
Abstract:
Euler-Principal Component Analysis (e-PCA) has been recently
proposed and successfully applied to the classification frame works.
By utilizing the robust dissimilarity
measure e-PCA demonstrates better performance than standard
PCA while dealing with nonlinear component analysis and
suppressing outliers. In this letter, we define a two-Dimensional
Euler-Principal Component Analysis ( e-2DPCA) framework for
SAR image processing. e-2DPCA is based on 2D image matrixes
rather than 1D vector which could understand two dimensional
(2D) images better and get rid of high dimensional data processing.
Furthermore, we applied this algorithm to SAR target recognition.
Finally, experiments on MSTAR database perform the usefulness
of our method in robust classification towards different situation.
Session:
SPG04-04, Paper No.2753
Title:
An analog circuit diagnosis algorithm Based on Dual-loop Volterra
filter
Chengkai, Tang; Zhanrong, Jing; Yi, Zhang; Yan Yang
Authors:
Zhang, Gong;
Abstract:
Fault diagnosis algorithm is an important part of power circuit. In
order to improve the reliability of power circuit, this paper
proposed a novel fault diagnosis algorithm with the dual-loop of
Volterra filter. The algorithm utilized the dual-loop of Volterra
filter to optimal the parameters of power circuit and remove the
noise, then, predict the fault in power circuit by the revised
parameters. The simulation show that our proposed algorithm have
better convergence speed, training time and the accuracy than the
neural network fault diagnosis algorithm and the particle swarm
fault diagnosis algorithm.
Session:
SPG04-05, Paper No.2799
64
Title:
Authors:
Target scattering centers reconstruction based on C-means method
for radar network
Liu Feifeng; Feng Wenling; Zeng Tao;
Abstract:
Conventional synthetic aperture radar (SAR) and inverse SAR
(ISAR) techniques need long integration time, i.e. 1 second or
more, to get the high azimuth resolution. Radar network with
widely separated transmitters and receivers has the ability to
simultaneously acquire the high range resolution profiles (HRRPs)
from different angles and thus has the potential to reconstruct the
target image by combining the information from these HRRPs. This
paper proposed a target reconstruction algorithm based on the
C-means method for radar network. The reconstruction could be
accomplished by using fuzzy clustering of C-means method based
on these HRRPs. The simulation results validated the proposed
algorithm.
Date:
August 8, Monday, 0900-1230, Room AC2 2513
Session:
SPG05 Image and pattern recognition
Session:
SPG05-01, Paper No.2765
Title:
Application of Semi-Supervised Fuzzy Kernel Clustering
Algorithm in Recognizing Transformer Winding’s Pressed State
Yan Junkai; Qi Weiran; Sun Yue; Zhang Dongkai; Guo
Dezheng; Ma Hongzhong
This paper applies fuzzy clustering algorithm to recognize the
transformer winding’s pressed state based on transformer’s
vibration signal. We propose a new semi-supervised fuzzy kernel
clustering algorithm (SFKC) based on some modifications for the
fuzzy clustering methods. The first modification is that the new
algorithm uses prior knowledge to guide the clustering process.
Second, it uses kernel function to map the samples to high
dimensional feature space for clustering. Third, dynamic weight of
the feature is carried out considering the different effects of sample
features. The accuracy and reliability of the proposed algorithm are
verified by the standard test data set. Then the algorithm is applied
to recognize transformer winding’s pressed state. According to the
vibration characteristics of the transformer, we construct a sample
set incorporating multi-sensors and multi-features for clustering.
After clustering, we use the clustering centers and feature weights
to recognize new unlabeled sample. The results show that the
method is feasible.
Authors:
Abstract:
65
Session:
SPG05-02, Paper No.2793
Title:
Human Gait Recognition Based on Discrete Cosine Transform and
Linear Discriminant Analysis
Fan, Zheyi; Jiang, Jiao; Weng, Shuqin; He, Zhonghang;
Liu, Zhiwen;
To improve the accuracy of gait recognition by fully utilizing gait
information, a human gait recognition algorithm based on the
Discrete Cosine Transform (DCT) and the Linear Discriminant
Analysis (LDA) is proposed in this paper. First, frequency-domain
features are extracted from the Gait Energy Image (GEI) by DCT,
which can effectively distinguish different frequency components
of human gait. Then, these frequency features are further mapped
into the optimal discriminant vectors space by LDA, which can
enhance the discrimination and reduce dimensions of features.
Finally, the identity recognition is implemented according to the
shortest similarity distance. Experiments on the database provided
by Chinese Academy of Sciences (Institute of Automation)
demonstrate that the proposed feature extraction strategy has the
highest recognition rate among the compared methods.
Authors:
Abstract:
Session:
SPG05-03, Paper No.2813
Title:
A Two-Step Spatio-Temporal Satellite Image Fusion Model for
Temporal Changes of Various LULC
Zhao Yongquan; Huang Bo;
Authors:
Abstract:
This paper proposes a two-step spatio-temporal fusion model
(TSTFM) for generating synthetic satellite remote sensing images
with high-spatial and high-temporal resolution (HSaHTeR) based
on one pair of prior images, which contain one low-spatial but
high-temporal resolution (LSaHTeR) image and one high-spatial
but low-temporal resolution (HSaLTeR) image. Considering both
phenology and type surface temporal changes, the two steps in
TSTFM are adopted to handle these two kinds of changes
respectively, which are based on weighted mean and
example-based image super-resolution approaches accordingly. In
addition, a relative radiometric normalization process is conducted
before performing the two-step spatio-temporal fusion (STF)
process, which aims to calibrate radiometric differences of different
kinds of satellite sensors. The proposed method was tested on two
sets of test data: surface with mainly LULC phenology changes and
surface with primarily LULC type changes. Experimental results
66
show that TSTFM can capture both phenology and type changes
efficiently and precisely even with one-pair prior images, and it can
also maintain its robustness when facing extremely complex LULC.
Session:
SPG05-04, Paper No.2854
Title:
Kinship Verification From Faces: Methods, Databases and
Challenges
Wu Xiaoting; Boutellaa Elhocine; Feng Xiaoyi; Hadid
Abdenour;
Automatic kinship verification from face images aims at verifying
whether two persons have a kin relation or not by only comparing
their visual facial similarities. This is an emerging topic in face
analysis and computer vision. Automatic kinship verification is
useful in many applications such as finding missing children, image
annotation, and social media analysis. In the recent years, there has
been a lot of efforts in developing methods to cope with this
challenging but important research problem. This paper introduces
the topic, discusses the proposed methods, describes the available
databases, highlights the open issues and challenges and points out
directions for future research.
Authors:
Abstract:
Session:
SPG05-05, Paper No.2892
Title:
A Novel Path Segmentation Method for Autonomous Road
Following
Shi Jinjin; Fu Fangfa; Wang Yao; Wang Jinxiang;
Authors:
Abstract:
Detecting roads using monocular vision is a very challenging task
as the detection algorithm must be able to deal with complex
real-road scenes. In this paper, we describe an algorithm for general
path segmentation. There are three main technical contributions of
the approach. First, a path segmentation framework is presented,
which formulates road detection as a Bayesian posteriori estimation
problem. Second, to obtain knowledge about the road surface and
encode drivable region, a self-supervised learning algorithm is
proposed. Third, three image based statistically independent
measurements are developed, which are then incorporated into the
Bayesian frame-work to find the two most dominant edges of the
path. The method makes no assumptions about the structure or
appearance of the road. Experimental results demonstrate that it
achieves substantial improvements over the method which
represents the current state of the art in unsupervised and
self-supervised path segmentation research. Video clips that can be
67
found at http://pan.baidu.com/s/1hqSq8vy show our segmentation
results under five different challenging scenarios.
Session:
SPG05-06, Paper No.2901
Title:
Discriminative Patch-based Sparse Representation for Face
Recognition
Yang, Wenming; Sun, Xiang; Gao, Riqiang; Xu, Ying;
Liao, Qingmin;
This paper illustrates that elaborately selecting some discriminative
patches instead of using all patches is helpful for recognition tasks.
We propose an effective method called bagging greedy algorithm
(BGA) for choosing a collection of patches that is discriminative in
terms of classification. Compared with greedy algorithm, BGA is
less likely to get into local optimum. Based on the subset of
patches, discriminative patch based sparse representation
classification (DPSRC) is presented, in which the corresponding
patches are concatenated and the reconstruction error are
normalized by l1 norm. Compared with state-of-arts, our method
shows advantages especially for non-occlusion cases.
Authors:
Abstract:
Session:
SPG05-07, Paper No.2976
Title:
Petrographic image classification using Optimized Radial Basis
Function Support Vector Machine & Validation of its asymptotic
behavior
Marathe Ashutosh; Vyas Vibha; Chavhan Madhavi;
Authors:
Abstract:
Igneous rock classification using handheld specimens has been
practiced regularly. The manual inspection process can be time
consuming and error prone and is significantly dependent on the
experience and knowledge of the observer. Hence for automated
classification of Igneous rock microstructure images into two main
types - Volcanic and Plutonic Igneous rocks , pattern classification
approach is used. A database of locally relevant representative
images belonging to both groups is considered for training as well
as testing purposes. The classification into volcanic and Plutonic
rocks is done on the basis of the grain size as a unique Geological
textural feature. Following the identification of various
fundamental statistical features such as Haralick features, and
Laws Masks ; a non-linear Support Vector Machine kernel Radial Basis Function (RBF) is used giving good classification
results. It is optimized using Grid Search to offer improved results.
Leave One Out Cross Validation is carried out. The Grid Search
68
results are validated by studying asymptotic behavior of RBF
SVM , plotting boundary curve, identifying underfitting and
overfitting regions for the given dataset.
Session:
SPG05-08, Paper No.2978
Title:
Study on Algorithm Evaluation of Image Fusion Based on
Multi-hierarchical Synthetic Analysis
He, Guiqing; Liang, Fan; Feng, Xiaoyi; Siyuan Xing; Dandan
Dong
To resolve the algorithm evaluation issue of multi-sensor image
fusion, we propose a novel synthetic evaluation method using
multi-hierarchical gray relational analysis mechanism, which has
the merit of using small-sized samples and of allowing unitary
comparison. The proposed method combines a priori knowledge
and quantization evaluation. In this paper we first outline a basic
three-step procedure in order toperform the gray relational analysis
for a single-hierarchy evaluation system, and then give a four-step
procedure to perform multi-hierarchical evaluation system.
Therefore, we obtain a synthetic evaluation result that is more
quantitative and comprehensive than conventional subjective and
objective measures such as correlation coefficient and average
gradient. The novel evaluation method can give not only overall
performance evaluation for image fusion algorithm but also specific
performance evaluation. Extensive experimental analysis shows
that the proposed method generates better evaluation result with
respect to quantization, precision, objectivity, reliability, and
real-time evaluation. These advantages make it applicable to fusion
systems with feedback capability, and can enrich and perfect the
image fusion system.
Authors:
Abstract:
Session:
SPG05-09, Paper No.3002
Title:
Study on Panchromatic and Multispectral Image Fusion Based on
SFIM and CA Transform
Li Tao; He Guiqing; Xia Zhaoqiang; Shao Zhuqiang; Liang
Fan;
With the successive launch and rapid development of the new
satellite WorldView-2 and WorldView-3, panchromatic and
multispectral image fusion become a hot research topic. To resolve
the dilemma of the currently existing methods for panchromatic and
multispectral image fusion, viz. unavoidable spectral distortion or
the need to introduce cumbersome frequency analysis and
Authors:
Abstract:
69
reconstruction, a method has been proposed which is based on
SFIM (Smoothing Filter-based Intensity Modulation) and CA
(Correspondence Analysis). Firstly, the weighted gradient adaptive
filtering SFIM model is introduced, whose simple calculation
feature has been utilized to extract the spatial information of
panchromatic images. Secondly, the statistical CA transform has
been brought in and its multivariable analysis feature has been used
to process the infusion of spatial information. As a result of the
above two processes the novel fusion method has been proposed
which is based on SFIM and CA transform. Theoretical and
experimental studies show that the proposed method can not only
significantly maintain spectral characteristics, in absence of
frequency decomposition and reconstruction, but also effectively
infuse detailed spatial information, along with the elegancy of
simple calculation and real time. In the scenario of panchromatic
and multi-spectral image fusion such as similar lighting conditions
and physical properties, the proposed method is more suitable for
the fusion systems which require fast interactive processing and
real-time visualization, and is better than those which are based
upon multi-scale analysis.
Session:
SPG05-10, Paper No.3011
Title:
An Efficient Automatic Palm Reading Algorithm and its Mobile
Applications Development
Leung Kwan-Pui; Law N,F;
Authors:
Abstract:
Palm reading is a traditional practice in China for a few thousand
years to tell ones’ fortune. Currently, there is a lack of mobile
applications that allow palm reading to be done automatically and
efficiently. This study aimed at developing an effective palm
reading algorithm which can run in an Android platform efficiently.
OpenCV and Java were used for the implementation. Our palm
reading algorithm uses an adaptive thresholding approach to
segment the palm image from the background, extract the fingers
and calculate their length, extract the three principal palm lines in
which regression is applied to produce connected and continuous
palm lines. The algorithm was implemented as an Android
application. Results showed that the algorithm can be run within 2
to 4 seconds, and the automatic palm reading can be done on
mobile platforms accurately. The study enriched existing market of
mobile applications that aim at palm reading. With successful
implementation of such platform, and by collecting more personal
information of the users, such as personality and health status, this
70
application can be applied for future research on the prediction of
personality and health.
Date:
August 8, Monday, 1330-1700, Room AC2 2312
Session:
SPG04 Detection, Sstimation and Classification
Session:
SPG04-06, Paper No.2819
Title:
Methods for Predicting Dark-Current Distribution of CMOS Image
Sensor in Radiation Environment
Zheng, Ran; Hui, Xiangli; Wang, Jia; Zhao, Ruiguang; Wei,
Xiaomin; Hu, Yongcai;
Nowadays, CMOS image sensors are more and more used in a wide
variety of applications, especially in satellite systems, where they
are exposed to space radiation environment. In-orbit sensors suffer
from radiation induced dark-current degradation that the
dark-current mean value and non-uniformity increase, which results
in the signal-to-noise-ratio decrease affecting the image quality.
Based on the principle of radiation effects on semiconductor
devices, this paper analyzes the ionizing and displacement damage
effects in CMOS image sensors due to gamma-rays and protons
radiation, and proposes a method for dark-current distribution
modeling in the mixed radiation environment. Simulation results
proves that the proposed method is well adapted to predict the
dark-current distributions for a device which is exposed to both
gamma-rays and protons radiation at the same time. Index Terms:
Dark-current distribution, Modeling, Protons, gamma rays, Space
radiation
Authors:
Abstract:
Session:
SPG04-07, Paper No.2835
Title:
DOA estimation in monostatic MIMO array based on sparse signal
reconstruction
Shi Wentao; Huang Jianguo; Zhang Qunfei; Zheng Jimeng;
Authors:
Abstract:
In this paper, a novel method for direction arrival (DOA) estimation
in monostatic multiple-input multiple output (MIMO) array is
presented. By using the sparse signal reconstruction of monostatic
MIMO array measurements with an overcomplete basis, the
singular value decomposition (SVD) of the received data matrix
can be penalties based on the l1-norm. The optimization problem
can be solved exploiting the second-order cone programming
framework. The proposed method for monostatic MIMO array
71
could achieve more accurate DOA estimation than the traditional
DOA estimation methods. The simulation examples are presented
to demonstrate the effective of the proposed method in monostatic
MIMO array.
Session:
SPG04-08, Paper No.2836
Title:
A Direction Tracking Algorithm Based on the Repulsive Force
Model with Low SNR in MIMO HF Sky-wave Radar
Hou, Yuguan; Liu, Hongyan;
Authors:
Abstract:
In MIMO HF sky-wave radar, the spatial spectrum estimation
technology is used to obtain the estimates of the
Direction-Of-Departure (DOD) and the Direction-Of-Arrival
(DOA) of signals of interest and the “undesired” signals for
suppressing the multipath clutter of the instability ionosphere layer.
However, in the case of low Signal-to-Noise Ratio (SNR), the
biases of the estimates of the direction of the signals and clutter are
relatively large. And the biases could not be calibrated by the
conventional Particle Filter (PF) algorithm. Therefore, in this paper,
a direction tracking algorithm based on the repulsive force model
with low SNR in MIMO HF sky-wave radar is proposed to improve
the accuracy of the direction tracking. Firstly, the MUSIC
algorithm based on the Toeplitz approximation is used to obtain the
directions of the signals, which are most often taken as the coherent
sources for better resolution performance. Secondly, we develop
the repulsive force model with Stochastic Differential Equations
(SDE), and add it to the Markov Chain Monte Carlo Particle Filter
(MCMC-PF) algorithm. We compare the azimuth estimates
obtained by the MUSIC algorithm based on the Toeplitz
approximation method using the PF algorithm with the repulsive
force model and the PF algorithm without the repulsive force
model. The simulation results demonstrate the effectiveness of this
algorithm. The algorithm can be applied to DOD and DOA
estimates of the azimuth and the elevation with the proper antenna
array.
Session:
SPG04-19, Paper No.2842
Title:
A novel TOA estimation method for unknown signal based on
intra-pulse correlation accumulation
Xu, Jiacen; Wang, Zhongyi; Liu, Quanhua; Ren, Lixiang;
Authors:
Abstract:
This paper presents a novel low complexity time-of arrival (TOA)
estimation method for unknown intra-pulse modulated signal under
72
low SNR condition. The received signal is firstly pre-processed by
delayed conjugate multiplication to reduce the intra-pulse
modulation and get a rough range of the signal. Then a novel
intra-pulse correlation accumulation method is applied to achieve a
precise estimation of rising and falling edge. Simulations are
conducted to show the feasibility of the method and evaluate the
performance of estimation. Compared with existing methods, this
novel method can achieve a better estimation result.
Session:
SPG04-10, Paper No.2857
Title:
Imbalanced Network Traffic Classification based on Ensemble
Feature Selection
Ding, Yaojun;
Authors:
Abstract:
In order to improve the classification efficiency of large scale
imbalanced network traffic, a classification method based on
ensemble feature selection is proposed. The method firstly based on
the characteristics of SU algorithm on different data sets to generate
the feature subset. According to the data set of support degree and
the threshold to produce integrated feature subset, based on the
accuracy and recall rate, ROC area three criteria in the decision tree
model compared the different feature selection methods of class
effect. Experimental results show that the ensemble feature
selection method in imbalanced network traffic classification
performance is better than the general SU algorithm.
Session:
SPG04-11, Paper No.2862
Title:
Parameter Estimation of Non-modulated or Modulated
Frequency-Hopping Signals
Zhang, Qin; Liu, Yanhui; Zhang, Xinxiang;
Authors:
Abstract:
It is a very effective way to use time-frequency distribution to
analyze the Frequency-Hopping (FH) signals. There are a variety of
time-frequency analysis methods, in which wavelet transform’s
time-frequency distribution of the signal is very sensitive to noise,
and Wigner-Ville distribution has a good time-frequency
aggregation but the presence of severe crosstalk analysis of
multi-component signals. Classic STFT is a good time-frequency
tools, but cannot obtain a higher time resolution and frequency
resolution at the same time. In this paper, the classical STFT
algorithm is improved to work well in lower SNR by using image
processing, and further improve time resolution at the same time
combined with the differential frequency discrimination in high
73
SNR. Experimental results show that reasonable input parameters
will improve the performance of frequency hopping signal
parameter estimation.
Index Terms—Frequency-Hopping, Estimation, STFT.
Session:
SPG04-12, Paper No.2873
Title:
Node Placement Optimization for Distributed Sensor Network
Using Adaptive Genetic Algorithm
Yan Qingli; Chen Jianfeng;
Authors:
Abstract:
Sensor placement is an important issue for distributed sensor
network design, especially when it is used for collaborative tasks
(e.g., source localization and tracking). In this paper, the averaged
Cramer-Rao Lower Bound (CRLB) of TDOA-based sensor
network localization system is derived at first in a more practical
scenario where the variance of the Time Of Arrival (TOA) estimate
error of each sensor node is proportional to the square of its
distance from the source. An adaptive genetic algorithm is then
designed and applied to the optimal sensor placement process. A
series of simulations are carried out to verify and demonstrate the
performance of the proposed method when there is a sound source
and 5, 10, 18 and 45 sensor nodes in a square test region,
respectively. The simulation results show that the proposed
adaptive genetic algorithm works successfully and the obtained
optimal sensor placement emerges as an even distribution.
Session:
SPG04-13, Paper No.2891
Title:
Radar Signal Classification Based on Auto-Correlation Function
and Directed Graphical Model
Wang Chao; Gao Hao; Zhang Xudong;
Authors:
Abstract:
This paper proposes a new radar signal classification algorithm
based on auto-correlation function (ACF) and directed graphical
model (DGM). The ACFs of analytic radar signals are calculated to
magnify the discrimination of signals of different categories. A
simple de-noising approach is introduced to purify the ACFs. Four
features are extracted from the purified ACF. A DGM is used to
represent the joint probability distribution of the four features along
with the category and to classify unknown radar signals. Simulation
results show the effectiveness of this classification algorithm.
Session:
SPG04-14, Paper No.2922
74
Title:
Authors:
Two Dimension Angle Estimation Based on Spatial
Time-Frequency Analysis
Du, Jinxiang; Wang, Huigang; Qian Qi
Abstract:
In this paper, we propose a 2-dimension bearing estimation method
based on spatial time-frequency analysis. We generalize spatial
power spectrum based on wavelet transform (SPS-WT) to
3-dimension space. By analyzing the relationship between the
wavelet transform of the frequency invariant beam's output and the
array's beampattern, we derived SPS-WT in 3-dimension space.
The method has good performance on noise suppression by
utilizing the statistical uncorrelation character between signals and
noise, and also has high resolution on bearing estimation. The
performance of the proposed method is illustrated in simulation
results.
Session:
SPG04-15, Paper No.2960
Title:
Facial Expression Recognition Using Depth Map Estimation of
Light Field Camera
Shen, Tak-Wai; Fu, Hong; Chen, Junkai; Yu, W, K, ; Lau,
C, Y, ; Lo, W, L, ; Zheru Chi
Facial expressions recognition has gained a growing attention from
industry and also academics, because it could be widely used in
many field such as Human Computer Interface (HCI) and medical
assessment. In this paper, we evaluate the strength of the Light
Field Camera for facial expression recognition. The light filed
camera can capture the directions of the incoming light rays which
is not possible with a conventional 2D camera. In addition, the light
filed camera could estimates depth maps which provide further
information to handle the facial expression recognition problem.
Firstly, a new facial expression dataset is collected by the light field
camera. The depth map is estimated and applied on Histogram
Oriented Gradient (HOG) to encode these facial components as
features. Then, a linear SVM is trained to perform the facial
expression classification. Performance of the proposed approach is
evaluated using the new dataset with estimated depth map.
Experimental results show that significant improvements on
accuracy are achieved as compared to the traditional approach.
Authors:
Abstract:
Date:
August 8, Monday, 1330-1700, Room AC2 2513
Session:
SPG01 Signal Processing Technique and Interest
75
Session:
SPG01-11, Paper No.2680
Title:
Computation of sensitivity map in AECVT based on voltage
distribution
Zou, Xingxing; Zhao, Jinchuang; Fu, Wenli;
Authors:
Abstract:
Adaptive electrical capacitance tomography can improve the image
resolution with more flexible control in sensitivity map which
become a new research direction for three dimensional capacitance
imaging. However, the conventional computation of sensitivity map
is time-consuming, a fast approach based on voltage distribution
was proposed to solve this problem. The simulation results show
that the sensitivity map obtained by the conventional and fast
computation approach are very close while the computation time of
the later is 20% of that of the former one.
Session:
SPG01-12, Paper No.2691
Title:
Temporal Evolution Analysis of Functional Connectivity in
Epilepsy Based on Weighted Complex Networks
He Yan; Yang Fan;
Authors:
Abstract:
It’s proposed that weights of links play critical role in complex
system. In this study, we adopted nine network characteristics to
verify their performance in the brain of temporal lobe epilepsy
(TLE). Weighted networks were derived from phase locking values
on multichannel intracranial electroencephalography (EEG)
recordings when the patient is undergoing seizure attack. It's
illustrated that network efficiency, vertex strength, transitivity and
characteristic path were sensitive to the occurrence of seizures
compared to other measurements. What's more, networks derived
from gamma band neural oscillations performs more remarkable
than other sub band signals while networks in delta band manifests
trivial alterations during seizure process. Further research would
focus on investigating characteristic network features in weighted
networks and frequency dependency in epileptic brain of TLE.
Index Terms—Weighted network, EEG, Epilepsy, Phase locking
Value.
Session:
SPG01-13, Paper No.2735
Title:
The Robustness Research of Beamforming Algorithm against
Pointing Error
Cui Lin; Jiao Yameng;
Authors:
76
Abstract:
In this paper a robust beamforming method is proposed, which can
effectively overcome the influence of DOA(direction of arrival)
mismatch. The proposed method exhibits the enhanced robustness
of the beamformers based on analysis of linear constrained
minimum variance beamformer. Then the support vector regression
(SVR) algorithm is applied to the robust beamforming, which is
based on the principle of structural risk minimization. Simulation
results show that the SVR-based beamforming method enhances
the robustness in terms of desired signal array manifold vector
errors in an ideal scenario of no-mismatch and an actual scenario of
mismatch respectively.
Session:
SPG01-14, Paper No.2826
Title:
ECG Features Extraction using Second-Order Dynamic System and
Regeneration using Hybrid Recurrent Network
Abdul-Kadir, Nurul Ashikin; Othman, Mohd Afzan; Mat Safri,
Norlaili;
ECG signals show the heart’s condition for each individual. ECG
signal’s characteristic can be extracted by using several methods
such as P-wave conditions, RR-interval, fast-Fourier transform,
wavelet transform, and etc. This study shows the relationship
between features extraction of ECG signals by using second-order
dynamic system (SODS) technique and ECG signals regeneration
by using hybrid-recurrent network (HRN). HRN technique
describes the mathematical proof of the algorithms used in SODS.
The algorithm was developed by using Matlab software platform.
Comparison was made and it was found that the ECG features
extracted from SODS can be used to regenerate the ECG signals
based on HRN technique. Therefore, the features extracted from
SODS were valid to be used for further analysis of ECG signals.
Authors:
Abstract:
Session:
SPG01-15, Paper No.2830
Title:
Analysis of The GEO Multipath impact on Ionosphere-free
Combination Positioning in BDS System
Jia Shan; Tang Xiaomei; Xiao Zhibin; Wang Feixue;
Authors:
Abstract:
the satellites constellation of BeiDou regional navigation satellite
system (BDS) is different from GPS, which consists of
Geostationary Orbit (GEO), Inclined Geosynchronous Orbit
(IGSO) and Medium Earth Orbit (MEO). Due to the different
constellation of navigation system, there should be some special
characteristics of BDS to be analyzed thoroughly. For example,
77
when used Ionosphere-Free Combination Positioning algorithm
(IF) in BDS, the positioning accuracy performs worse than Single
frequency positioning. This paper studies the genuine causes of this
phenomenon initially. From the analysis, GEO multipath error
should be the main reason which caused this phenomenon. GEO
multipath error changes slowly, even calls “standing multipath
error”. This paper analyzes this phenomenon and characteristics of
GEO multipath error, then proposes an amended algorithm to
estimate GEO multipath error. Finally used computed multipath
error to correct Ionosphere-Free Combination Positioning. The
simulation results show a significant promotion in positioning
accuracy.
Session:
SPG01-16, Paper No.2840
Title:
The modified back projection algorithm for bistatic ISAR imaging
of space objects
Zhao Huipeng; Wang Junling; Xiong Di; Qi Xiaoyang;
Authors:
Abstract:
Inverse Synthetic Aperture Radar (ISAR) imaging is a significant
way of observation and identification for space objects. Because the
motion information can be predicted, space objects can be regarded
as quasi-cooperative target. Thus back projection (BP) algorithm is
applied into bistatic ISAR imaging of space objects. It is well
known that conventional BP algorithm is sensitive to
synchronization and motion errors. In the view of this, a modified
BP algorithm is proposed, which uses high resolution range profiles
(HRRP) after coherent motion compensation and phase
autofocusing rather than directly compressed ones. The motion
compensation is based on range-velocity (RV) information which
can be propagated by Simplified General Perturbations, version 4
(SGP4) orbit model. By using the criterion of maximal image
contrast, the prediction errors can be reduced by parameters’
search. The residual motion errors and the inherent synchronization
errors are eliminated by phase autofocusing. The modified
algorithm can provide technical support for real data processing.
Simulation results are given to validate the correctness and
effectiveness of the proposed method.
Session:
SPG01-17, Paper No.2883
Title:
A Variable Step Size LMS Adaptive Filtering Algorithm Based on
L2 Norm
Wang Yixia; Sun Xue; Liu Le;
Authors:
78
Abstract:
On the basis of the traditional LMS algorithm and several
improved algorithms, a variable step size LMS algorithm is
proposed in this paper, which is based on the L2 norm. In this
algorithm, a new nonlinear relationship between the step size and
the error signal is established by introducing the input signal into
the step size iteration function, so that it can reflect the impact of
input signal on performance. Meanwhile, the smoothing factor is
added to make the step size determined by current error value and
also previous error, bringing it certain noise immunity. In this
paper, theoretical analysis and simulation experiments are
conducted to compare the new algorithm with other existing
algorithms from convergence speed, tracking performance and
steady state mean square error (MSE). According to the simulation
results, the proposed algorithm has a higher speed of convergence
and better performance on tracking than those algorithms, whereas
the steady state MSE remains the same as others.
Session:
SPG01-18, Paper No.2936
Title:
Dictionary Adaptation for Adaptive Filtering With Multiple
Kernels in a Dynamic Environment
Wada, Tomoya; Tanaka, Toshihisa;
Authors:
Abstract:
One of the major challenges in adaptive filtering is choosing an
appropriate model. In this paper, we propose a novel dictionary
adaptation rule with multiple kernels. The proposed method can
eliminate unnecessary elements in the dictionary by using block L1
regularization. In addition to that, the proposed method can
efficiently ``move'' elements of the dictionary to increase the
approximation performance. Numerical examples support the
efficacy of the proposed method.
Session:
SPG01-19, Paper No.2953
Title:
Learning-based super-dimension (SD) reconstruction of porous
media from a single two-dimensional image
He Xiaohai; Li Yang; Teng Qizhi; Li Zhengji; Qing Linbo;
Authors:
Abstract:
The three-dimensional (3D) microscopic pore structure of
Reservoir rock directly affects its seepage characteristics and
physical properties. A 3D microscopic pore structure can be
reconstructed from a single two-dimensional (2D) training image
(TI) by using mathematical modeling methods. In this paper, we
introduce the concepts of blocks, dictionary and learning into the
reconstruction of 3D porous media from the area of example-based
79
super-resolution (SR) reconstruction, and put forward the concept
of super-dimension (SD) reconstruction: study the corresponding
relations between 2D images and 3D images of real microscopic
pore structure of reservoir rock, and use these relations as guidance
for the reconstructions of a new 2D image. According to the
concept of SD reconstruction, we put forward a new learning-based
superdimension (LBSD) reconstruction algorithm whose basic
steps are as follows: (1) Select the training set; (2) build the
dictionary; (3) reconstruction. Based on these steps, we did
experiments on reconstruction of porous media from a single
two-dimensional image. Comprehensive tests show that the
reconstructed 3D structure consists with the 3D Micro-CT core
sample where the 2D TI is selected from both in morphological
characteristics and Statistical characteristics.
Session:
SPG01-20, Paper No.2959
Title:
Beidou combined-FFT Acquisition Algorithm for
Resource-constrained Embedded Platform
Zeng Qingxi; Zhang Pengna; Ma Shan; Feng Yupeng;
Authors:
Abstract:
The length of Beidoucode is twice that of the Global Position
System (GPS) C/A code, and the resource consumption will be
doubled on embedded hardware with a finite resource if it is
processed with the traditional algorithm. Hence, this paper proposes
an acquisition algorithm based on combined Fast Fourier
Transform (FFT), which separates a signal into odd and even
sequences and processes them in serial. By doing so, FFT length is
halved and memory usage is decreased. The paper then goes on to
analyze the space complexity and time complexity of the proposed
algorithm and the traditional algorithm on the embedded platform.
The results show that the memory usage of the proposed algorithm
is reduced by 23.3% and the amount of multiplication by 12%
while the acquisition accuracy remains stable as the PTP values of
these two algorithms are close. In other words, the proposed
algorithm consumes less resource with no acquisition accuracy
losses.
80
Chen, Xiaolong
49
Author Index by page no.
Chen, Xin
14
A
Abbdal, Salah H.
Cheng, Kejia
27
Chengkai, Tang
64
Chi, Zhizhen
18
Chiy, Zhizhen
18
Chung, Jin-Gyun
58
Comendador,
Benilda Eleonor V.
39
Cui, Lin
76
17
36
Abduljabbar, Zaid
Ameen
38
36
Abdul-Kadir, Nurul
Ashikin
77
B
D
Bai, Xia
50
Bo, Li
34
35
Boutellaa, Elhocine
67
Bu, Renfei
7
C
Cao, Hui
52
Cao, Jing
12
Chang, Shu-Cheng
58
Chang, Wei-Ling
40
Chen, Chiang-Hen
15
17
Chen, Hang
61
Chen, Huayan
9
Chen, Huiming
18
Chen, Jun
63
Chen, Junkai
75
Chen, Qiang
43
Chen, Shichao
20
24
Chen, Weiling
27
Deng, Bing
49
Deng, Dan
51
Deng, Tian-Bo
2
Deng, Yiqiu
53
Deqing, Zou
38
Di, Zeng
6
Ding, Lin
63
Ding, Yaojun
73
Ding, Zegang
23
40
23
Du, Jinxiang
74
Du, Yongqian
30
F
Fan, Ding
55
Fan, Xianxue
33
Fan, Zheyi
66
Feng, Haihong
28
Feng, Hu
12
Feng, Jiuchao
15
Feng, Wenling
64
Guo, Yichao
14
Feng, Xiaoyi
2
Guo, Yong
46
67
H
69
Han, Mo
53
Feng, Yuan
50
He, Chengbing
27
Feng, Yupeng
80
8
Fu, Fangfa
67
45
Fu, Hong
75
He, Dengfeng
57
Fu, Xiaowei
30
He, Guiqing
69
Fu, Xiongjun
20
G
69
He, Miaokang
55
Gao, Hao
74
He, Xiaohai
79
Gao, Hongju
56
He, Yan
76
Gao, Jing
44
He, Zhiwei
57
21
He, Zhonghang
66
44
Hei, Hong-Wu
49
57
Hong, Ming
57
57
Hou, Yuguan
72
Gao, Riqiang
68
Hu, Shanqing
22
Gao, Wenbin
40
Gao, Zhibin
31
Hu, Xiuhua
37
Ge, Yao
26
Hu, Ya-Han
5
Gong, Junbin
62
Huan, Hao
14
Guan, Jian
49
Huang, Chin-Yu
58
Guo, Dezheng
65
Huang, Haoqian
50
Guo, Jianmin
14
Huang, Jianguo
7
Guo, Lei
37
71
Guo, Longxiang
17
45
Gao, Mingyu
55
47
Huang, Minyan
28
Guo, Qiang
54
Huang, Weikun
10
Guo, Xi
28
Hui, Xiangli
71
Hussain, Mohammed
Abdulridha
Hussien, Zaid Alaa
52
38
33
36
Li, Daojiang
60
38
Li, Feng
44
36
44
21
I
Ibrahim, Ayad
38
Li, Guifang
30
36
Li, Hai
32
Li, Hangyang
18
J
Ji, Chunlin
15
Li, Hongyang
18
Jia, Ju
4
Li, Huifang
37
Jia, Shan
77
Li, Jilong
28
Jian, Xue
41
Li, Jun
33
Jiang, Jiao
66
Li, Longjiang
36
Jiang, Junmin
1
Li, Qinyuan
8
Jiang, Xueqin
33
Jiang, Zhe
26
Li, Siyu
56
Jin, Hai
38
Li, Tao
69
36
Li, Wenjing
43
Jin, Jiucai
25
Li, Xingming
55
Jin, Ye
22
Li, Yang
79
Jinxiang, Du
61
Li, Zhengji
79
Liang, Fan
69
Liang, Hong
4
Liang, Yusheng
33
Liao, Xin
23
K
Ku, Sheng-Ju
16
L
27
Lau, C. Y.
75
Lei, Kaizhuo
57
Leung, Kwan-Pui
70
Lin, Huiting
18
Li, Bo
21
Lin, Xuefang
42
32
Liu, Fan
30
60
Liu, Feifeng
64
40
Liu, Huafeng
4
Ma, Zhixun
21
Liu, Jianyan
5
Mao, Yang
35
Liu, Ju
3
Mao, Yijie
13
Liu, Lanjun
25
Marathe, Ashutosh
68
Liu, Meiqin
10
Miao, Hongxia
54
9
Mishra, Anurag
38
20
O
Othman, Mohd
Afzan
P
77
Pang, Feifei
12
Peng, Kai
55
Peng, Shuilian
20
Liu, Ming
24
Liu, Qiang
5
Liu, Quanhua
72
Liu, Shuai
23
Liu, Songzuo
28
Liu, Su
64
Liu, Xiaoping
53
Liu, Yanhui
73
Liu, Yong
43
Liu, Yuanyuan
57
Liu, Yu-Hsin
15
Lo, W. L.
75
Lu, Fugang
20
24
Lu, Mengyu
22
Lu, Ming-Feng
54
Lu, Xiangyang
54
Luan, Peng
51
Luo, Junshan
62
Lv, Pin
14
M
Ma, Shan
80
Ma, Tianlong
28
Ma, Yiran
26
Q
Qi, Qian
61
Qi, Weiran
65
Qian, Liangfang
10
Qiao, Gang
28
Qin, Hao
57
Qin, Ye
26
Qu, Aixi
3
Qu, Qiao
52
R
Rabago, Lorena W.
39
Rajpal, Ankit
38
Ren, Xiaohuan
47
Ren, Ziliang
15
Ru, Tie Shan
11
S
Shan, Nana
1
Shao, Zhuqiang
69
Shen, Tak-Wai
75
Shi, Guixin
61
Shi, Jinjin
67
Shi, Jun
53
Tsai, Chih-Fong
Shi, Wentao
45
V
71
Vyas, Vibha
27
W
Shukla, Mahendra K.
50
Wada, Tomoya
79
Siyuan, Xing
69
Wan, Wenbo
3
Su, Kaiyu
57
Wang, Chao
74
Su, Lin
45
Su, Mengna
4
Wang, Fei
55
Su, Nan
5
Wang, Fengge
54
Su, Peng
18
Wang, Hongyan
24
Su, Wei
50
Wang, Huigang
74
Sun, Hung-Min
40
Wang, Jia
60
Sun, Peixia
18
45
Sun, Xiang
68
71
Sun, Xue
78
Wang, Jinghua
22
Sun, Yue
65
Wang, Jingjing
18
Wang, Jun
41
T
Tsai, Cheng-Rung
15
17
5
68
44
Tang, Lijun
57
Wang, Junling
78
Tang, Qi
1
Wang, Pengjun
59
Tang, Shengyu
17
Wang, Shilian
62
Tang, Xiaomei
77
7
Tang, Zheng
29
9
Tao, Fuyu
42
48
Tao, Hao
62
Wang, Shi-Lian
25
Tao, Ran
54
Wang, Tong
42
Teng, Duo
60
Teng, Qizhi
79
Wang, Wei
47
Tian, Ming-hao
30
Wang, Xiaobei
23
42
Wang, Xihan
2
Wang, Xin
26
Xiang, Yin
23
Wang, Xue
24
Xiao, Yifan
3
Wang, Yao
67
Xiao, Zhibin
77
Wang, Ying
55
Xiaoya, Zuo
35
Wang, Yixia
78
Xie, Yan-An
46
Wang, Yunlan
35
Xie, Yang
48
Wang, Zhongyi
72
Xiong, Di
78
Wei, Tingcun
60
Xu, Jia
63
45
Xu, Jiacen
72
60
Xu, Lijun
6
Wei, Xiaomin
69
71
6
45
Xu, Liyun
48
Wei, Xin
29
Xu, Xiaofei
31
Wen, Miaowen
33
Xu, Yan
4
Wen, Yuanmei
3
Xu, Ying
68
Weng, Shuqin
66
Xue, Qingtian
34
Wu, Chang Ying
11
Y
Wu, Chien-Sheng
17
Yadav, Suneel
50
Wu, Dan
56
Yan, Junkai
65
Wu, Jianxin
42
Yan, Qingli
74
42
Yan, Shefeng
6
Wu, Jin-Min
54
6
Wu, Jun
37
26
Wu, Junsheng
12
61
Wu, Xiaoting
67
Wu, Yong
41
32
Wu, Yongqing
61
34
Wu, Yujing
58
52
X
0
33
Xia, Zhaoqiang
2
Yan, Zhongjiang
Yang, Bo
21
21
32
Zhang, Jie
25
Yang, Fan
55
Zhang, Lingling
7
Yang, Jianjun
36
Zhang, Pengcheng
25
Yang, Mao
52
Zhang, Pengna
80
33
Zhang, Qin
73
Yang, Mingyuan
44
Zhang, Qingyue
46
Yang, Peiyao
32
Zhang, Qunfei
12
Yang, Wenming
68
8
Yanwei, Yang
12
57
Yeon-Jin, Kim
58
71
Yi, Xie
35
Zhang, Senlin
9
Yi, Zhang
64
Zhang, Sida
4
Yin, Jingwei
17
Zhang, Wei
9
47
Zhang, Xiao
17
Yin, Peng
23
Zhang, Xin
8
Yong-En, Kim
58
Zhang, Xin-xin
30
Yu, Haizhen
59
Zhang, Yang
57
Yu, W. K.
75
Zhang, Yan-Na
49
Yu, Xiaohan
49
Zhang, Yonglei
25
Yuan, Fei
27
Zhang, Yuan
10
Yuan, Zhuqing
26
Zhang, Yun
49
Zhang, Yuping
43
Z
Zeng, Qingxi
80
Zhang, Zhen
6
Zhang, Bin
35
Zhanrong, Jing
64
Zhang, Chaojie
44
Zhao, Caidan
31
Zhang, Chengyan
20
Zhao, Huipeng
78
Zhang, Chenqi
41
Zhao, Jiayun
22
Zhang, Dongkai
65
Zhao, Jinchuang
76
Zhang, Eryang
48
Zhao, Ruiguang
71
Zhang, Feng
54
Zhao, Tianhai
35
Zhang, Hao
25
Zhao, Xin
40
Zhao, Yongquan
66
Zhao, Zhi
15
Zhao, Zilu
9
Zheng, Ran
71
45
Zhong, Jiang
12
Zhongjiang, Yan
35
Zhou, Biao
61
Zhou, Feng
29
Zhou, Wei
1
Zhou, Wen
51
Zhu, Guangping
17
Zhu, Jiang
51
Zou, Xingxing
76
Zuo, Xiaoya
34
Zuo, Xiaoya
52
33
By Session No.
Abbdal, Salah H.
CPT02-02
CPT01-03
Abduljabbar, Zaid
CPT02-02
Ameen
CPT01-03
Abdul-Kadir,
SPG01-14
Nurul Ashikin
B
Bai, Xia
Bo, Li
SPX2-10
COM03-10
COM03-11
Boutellaa, Elhocine SPG05-04
Bu, Renfei
SPX1-04
C
Cao, Hui
COM03-15
Cao, Jing
Chang, Shu-Cheng
Chang, Wei-Ling
Chen, Chiang-Hen
Chen, Hang
Chen, Huayan
Chen, Huiming
Chen, Jun
Chen, Junkai
Chen, Qiang
Chen, Shichao
COM01-04
CPT03-08
CPT02-05
COM02-05
DSPC-02
SPG03-09
SPX1-09
DSPC-05
SPG04-02
SPG04-15
SPG03-01
SPG02-01
SPG02-10
SPX1-15
SPX2-07
COM02-01
SPX1-16
SPG04-04
DSPC-04
DSPC-06
CPT03-07
Chen, Weiling
Chen, Xiaolong
Chen, Xin
Cheng, Kejia
Chengkai, Tang
Chi, Zhizhen
Chiy, Zhizhen
Chung, Jin-Gyun
Comendador,
CPT02-04
Benilda Eleonor V.
Cui, Lin
SPG01-13
D
Deng, Bing
Deng, Dan
Deng, Tian-Bo
Deng, Yiqiu
Deqing, Zou
Di, Zeng
Ding, Lin
Ding, Yaojun
Ding, Zegang
Du, Jinxiang
Du, Yongqian
SPX2-08
COM03-13
SPG01-03
SPX2-11
CPT02-02
SPX1-02
SPG04-02
SPG04-10
SPG02-08
SPG02-11
SPG02-07
SPG04-14
COM03-03
F
Fan, Ding
Fan, Xianxue
CPT03-01
COM03-08
Fan, Zheyi
Feng, Haihong
Feng, Hu
Feng, Jiuchao
Feng, Wenling
Feng, Xiaoyi
Feng, Yuan
Feng, Yupeng
Fu, Fangfa
Fu, Hong
Fu, Xiaowei
Fu, Xiongjun
G
Gao, Hao
Gao, Hongju
Gao, Jing
Gao, Mingyu
Gao, Riqiang
Gao, Wenbin
Gao, Zhibin
Ge, Yao
Gong, Junbin
Guan, Jian
Guo, Dezheng
Guo, Jianmin
Guo, Lei
Guo, Longxiang
Guo, Qiang
Guo, Xi
Guo, Yichao
Guo, Yong
H
Han, Mo
He, Chengbing
SPG05-02
SPX1-17
COM01-05
COM02-03
SPG04-05
SPG01-04
SPG05-04
SPG05-08
SPX2-10
SPG01-20
SPG05-05
SPG04-15
COM03-02
SPG02-02
SPG04-13
CPT03-03
SPG03-03
SPG02-04
SPG03-02
CPT03-06
CPT03-05
SPG05-06
SPG02-11
COM03-04
SPX1-14
SPG03-10
SPX2-07
SPG05-01
COM02-02
CPT01-05
DSPC-01
SPX2-03
SPX2-14
SPX1-17
COM02-02
SPX2-02
SPX2-11
SPX1-16
SPX1-06
He, Dengfeng
He, Guiqing
He, Miaokang
He, Xiaohai
He, Yan
He, Zhiwei
He, Zhonghang
Hei, Hong-Wu
Hong, Ming
Hou, Yuguan
Hu, Shanqing
Hu, Xiuhua
Hu, Ya-Han
Huan, Hao
Huang, Chin-Yu
Huang, Haoqian
Huang, Jianguo
Huang, Minyan
Huang, Weikun
Hui, Xiangli
Hussain,
Mohammed
Abdulridha
SPG03-05
CPT03-04
SPG05-09
SPG05-08
CPT03-01
SPG01-19
SPG01-12
CPT03-05
SPG05-02
SPX2-08
CPT03-06
SPG04-08
SPG02-05
CPT03-02
CPT01-05
SPG01-09
COM02-02
CPT03-08
SPX2-10
SPX1-05
SPG04-07
SPG03-05
SPX1-17
SPX1-10
SPG04-06
CPT02-02
CPT01-03
Hussien, Zaid Alaa CPT02-02
CPT01-03
I
Ibrahim, Ayad
J
Ji, Chunlin
Jia, Ju
Jia, Shan
Jian, Xue
Jiang, Jiao
Jiang, Junmin
Jiang, Xueqin
CPT02-02
CPT01-03
COM02-04
SPG01-08
SPG01-15
SPG02-12
SPG05-02
SPG01-01
COM03-07
Jiang, Zhe
Jin, Hai
Jin, Jiucai
Jin, Ye
Jinxiang, Du
SPX1-14
CPT02-02
CPT01-03
SPX1-12
SPG02-05
SPG03-09
K
Ku, Sheng-Ju
COM02-06
L
Lau, C. Y.
Lei, Kaizhuo
Leung, Kwan-Pui
Li, Bo
Li, Daojiang
Li, Feng
Li, Guifang
Li, Hai
Li, Hangyang
Li, Hongyang
Li, Huifang
Li, Jilong
Li, Jun
Li, Longjiang
Li, Qinyuan
Li, Siyu
Li, Tao
Li, Wenjing
Li, Xingming
Li, Yang
Li, Zhengji
Liang, Fan
Liang, Hong
Liang, Yusheng
Liao, Xin
SPG04-15
CPT03-04
SPG05-10
SPG02-03
COM03-05
SPG03-07
COM03-16
COM03-09
SPG03-06
SPG03-02
SPG03-03
SPG02-04
COM03-03
COM03-06
DSPC-06
DSPC-04
CPT02-01
SPX1-17
COM03-07
CPT01-04
SPX1-06
SPX1-16
CPT03-03
SPG05-09
SPG03-01
CPT03-02
SPG01-19
SPG01-19
SPG05-08
SPG01-07
COM03-09
SPG02-07
Lu, Mengyu
Lu, Ming-Feng
Lu, Xiangyang
Luan, Peng
Luo, Junshan
Lv, Pin
SPG02-11
DSPC-03
SPG02-14
COM03-01
SPG04-05
SPG01-07
SPX1-01
SPG01-05
SPX1-12
SPX1-10
SPX1-09
SPG02-01
SPG02-10
SPX1-01
SPG04-19
SPG02-07
SPX1-18
SPG04-03
SPX2-11
SPG04-11
SPG02-16
CPT03-05
COM02-05
SPG04-15
SPG02-01
SPG02-10
SPG02-06
SPX2-13
SPX2-14
COM03-14
SPG04-01
COM02-02
M
Ma, Shan
Ma, Tianlong
Ma, Yiran
Ma, Zhixun
Mao, Yang
Mao, Yijie
Marathe, Ashutosh
Miao, Hongxia
Mishra, Anurag
SPG01-20
SPX1-18
SPX1-14
SPG02-04
COM03-11
COM01-06
SPG05-07
SPX2-12
CPT02-03
Lin, Huiting
Lin, Xuefang
Liu, Fan
Liu, Feifeng
Liu, Huafeng
Liu, Jianyan
Liu, Ju
Liu, Lanjun
Liu, Meiqin
Liu, Ming
Liu, Qiang
Liu, Quanhua
Liu, Shuai
Liu, Songzuo
Liu, Su
Liu, Xiaoping
Liu, Yanhui
Liu, Yong
Liu, Yuanyuan
Liu, Yu-Hsin
Lo, W. L.
Lu, Fugang
O
Othman, Mohd
Afzan
P
Pang, Feifei
Peng, Kai
Peng, Shuilian
SPG01-14
COM01-03
CPT03-01
SPG02-02
Q
Qi, Qian
Qi, Weiran
Qian, Liangfang
Qiao, Gang
Qin, Hao
Qin, Ye
Qu, Aixi
Qu, Qiao
SPG03-09
SPG05-01
SPX1-10
SPX1-18
CPT03-06
SPX1-13
SPG01-05
COM03-16
R
Rabago, Lorena W.
Rajpal, Ankit
Ren, Xiaohuan
Ren, Ziliang
Ru, Tie Shan
CPT02-04
CPT02-03
SPX2-04
COM02-03
COM01-02
S
Shan, Nana
Shao, Zhuqiang
Shen, Tak-Wai
Shi, Guixin
Shi, Jinjin
Shi, Jun
Shi, Wentao
Shukla, Mahendra
K.
Siyuan, Xing
Su, Kaiyu
Su, Lin
Su, Mengna
SPG01-02
SPG05-09
SPG04-15
SPG03-08
SPG05-05
SPX2-11
SPG03-05
SPG04-07
SPX1-16
COM03-12
SPG05-08
CPT03-05
SPG03-04
SPG01-07
Su, Nan
Su, Peng
Su, Wei
Sun, Hung-Min
Sun, Peixia
Sun, Xiang
Sun, Xue
Sun, Yue
T
Tang, Lijun
Tang, Qi
Tang, Shengyu
Tang, Xiaomei
Tang, Zheng
Tao, Fuyu
Tao, Hao
Tao, Ran
Teng, Duo
Teng, Qizhi
Tian, Ming-hao
Tsai, Cheng-Rung
SPX1-01
DSPC-06
SPX2-10
CPT02-05
DSPC-03
SPG05-06
SPG01-17
SPG05-01
Tsai, Chih-Fong
CPT03-05
SPG01-01
DSPC-01
SPG01-15
SPX1-20
SPG02-15
SPG03-10
SPX2-12
SPG03-06
SPG01-19
COM03-01
COM02-05
DSPC-02
SPG01-09
V
Vyas, Vibha
SPG05-07
W
Wada, Tomoya
Wan, Wenbo
Wang, Chao
Wang, Fei
Wang, Fengge
Wang, Hongyan
Wang, Huigang
Wang, Jia
Wang, Jinghua
Wang, Jingjing
Wang, Jun
SPG01-18
SPG01-05
SPG04-13
SPG03-03
CPT03-02
SPX2-14
SPG02-09
SPG04-14
SPG03-07
SPG03-04
SPG04-06
SPG02-06
DSPC-04
SPG02-13
Wang, Junling
Wang, Pengjun
Wang, Shilian
Wu, Jin-Min
Wu, Jun
Wu, Junsheng
Wu, Xiaoting
Wu, Yong
Wu, Yongqing
Wu, Yujing
SPG01-16
CPT03-09
SPG04-01
SPX1-04
SPX1-08
SPX2-06
SPX1-11
SPG02-14
SPG02-15
SPX2-03
SPG02-08
SPG01-04
SPX1-14
SPG02-09
SPG05-05
CPT03-01
SPG01-17
CPT01-01
SPG04-19
SPG03-07
SPG03-04
SPG03-07
SPG04-06
SPG03-04
SPX1-19
COM03-07
SPG01-06
SPG05-02
COM01-02
DSPC-02
CPT03-03
SPG02-14
SPG02-15
SPX2-13
CPT02-01
COM01-04
SPG05-04
SPG02-13
SPG03-08
CPT03-07
X
Xia, Zhaoqiang
SPG01-04
Wang, Shi-Lian
Wang, Tong
Wang, Wei
Wang, Xiaobei
Wang, Xihan
Wang, Xin
Wang, Xue
Wang, Yao
Wang, Ying
Wang, Yixia
Wang, Yunlan
Wang, Zhongyi
Wei, Tingcun
Wei, Xiaomin
Wei, Xin
Wen, Miaowen
Wen, Yuanmei
Weng, Shuqin
Wu, Chang Ying
Wu, Chien-Sheng
Wu, Dan
Wu, Jianxin
Xiang, Yin
Xiao, Yifan
Xiao, Zhibin
Xiaoya, Zuo
Xie, Yan-An
Xie, Yang
Xiong, Di
Xu, Jia
Xu, Jiacen
Xu, Lijun
Xu, Liyun
Xu, Xiaofei
Xu, Yan
Xu, Ying
Xue, Qingtian
Y
Yadav, Suneel
Yan, Junkai
Yan, Qingli
Yan, Shefeng
Yan, Zhongjiang
Yang, Bo
Yang, Fan
Yang, Jianjun
Yang, Mao
Yang, Mingyuan
Yang, Peiyao
Yang, Wenming
Yanwei, Yang
Yeon-Jin, Kim
Yi, Xie
SPG05-09
SPG02-07
SPG01-05
SPG01-15
COM03-11
SPX2-02
SPX2-06
SPG01-16
SPG04-02
SPG04-19
SPX1-02
SPX1-03
SPX2-05
COM03-04
SPG01-08
SPG05-06
COM03-10
COM03-12
SPG05-01
SPG04-12
SPX1-02
SPX1-03
SPX1-13
SPG03-08
SPG02-03
COM03-05
COM03-10
COM03-16
COM03-09
SPG02-03
COM03-05
CPT03-01
CPT01-04
COM03-16
COM03-09
SPG03-02
COM03-06
SPG05-06
COM01-05
CPT03-07
COM03-11
Yi, Zhang
Yin, Jingwei
Yin, Peng
Yong-En, Kim
Yu, Haizhen
Yu, W. K.
Yu, Xiaohan
Yuan, Fei
Yuan, Zhuqing
Z
Zeng, Qingxi
Zhang, Bin
Zhang, Chaojie
Zhang, Chengyan
Zhang, Chenqi
Zhang, Dongkai
Zhang, Eryang
Zhang, Feng
Zhang, Hao
Zhang, Jie
Zhang, Lingling
Zhang, Pengcheng
Zhang, Pengna
Zhang, Qin
Zhang, Qingyue
Zhang, Qunfei
Zhang, Senlin
Zhang, Sida
Zhang, Wei
Zhang, Xiao
Zhang, Xin
Zhang, Xin-xin
Zhang, Yang
Zhang, Yan-Na
Zhang, Yonglei
Zhang, Yuan
Zhang, Yun
Zhang, Yuping
SPG04-04
DSPC-01
SPX2-03
SPG02-08
CPT03-07
CPT03-09
SPG04-15
SPX2-07
SPX1-15
SPX1-13
SPG01-20
CPT01-01
SPG03-02
SPG02-02
SPG02-13
SPG05-01
SPX2-06
SPX2-13
SPX1-11
SPX1-12
SPX1-05
SPX1-12
SPG01-20
SPG04-11
SPX2-01
COM01-03
SPX1-06
CPT03-04
SPG04-07
SPX1-09
SPG01-08
SPX1-08
DSPC-01
SPX1-07
COM03-01
CPT03-04
SPX2-09
SPX1-12
COM01-01
SPX2-08
SPG03-01
Zhang, Zhen
Zhanrong, Jing
Zhao, Caidan
Zhao, Huipeng
Zhao, Jiayun
Zhao, Jinchuang
Zhao, Ruiguang
Zhao, Tianhai
Zhao, Xin
Zhao, Yongquan
Zhao, Zhi
Zhao, Zilu
Zheng, Ran
Zhong, Jiang
Zhongjiang, Yan
Zhou, Biao
Zhou, Feng
Zhou, Wei
Zhou, Wen
Zhu, Guangping
Zhu, Jiang
Zou, Xingxing
Zuo, Xiaoya
SPX1-03
SPG04-04
COM03-04
SPG01-16
SPG02-05
SPG01-11
SPG04-06
CPT01-01
SPG02-11
SPG05-03
COM02-03
SPX1-08
SPG04-06
SPG03-04
COM01-05
COM03-11
SPG03-09
SPX1-20
SPG01-02
COM03-13
DSPC-01
COM03-14
SPG01-11
COM03-10
COM03-16
COM03-09