U-SLOT LOADED HALF-CIRCLED ANTENNA ANALYSIS USING XGBOOST
MACHINE LEARNING ALGORITHM
Research Group: Antennas and Microwave
BATCH NO: 18
Batch Members:
R. Vivek Krishna–197Z1A04A2
V. Naveen Reddy – 197Z1A04C4
Mohammad Ibrahim – 207Z5A0411
Guide:
Mrs. B. Suneetha
Associate Professor
CONTENTS
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INTRODUCTION
ABSTRACT
OBJECTIVE
CHALLENGES
PROPOSED METHOD
FLOW CHART
APPLICATION
CONCLUSION
REFERENCES
LITERATURE REVIEW
INTRODUCTION
•Miniaturized antennas are in high demand as
technology evolves and consumption rises.
•Small size, low profile, and multiband antennas
are in high demand on the market.
•Due to their size and restricted applicability,
conventional antennas cannot match the criteria.
•As a result, we present the U-slot loaded half
circled antenna .
•Geometry features include self-similarity, space-
filling, impedance matching, tiny size, and
multiband.
ABSTRACT
•The half-circled U-slot loaded antenna is studied using the HFSS and
ANN tools.
•To generate the training data, the HFSS tool is used.
•The next step is to apply the training data to Machine Learning
XGBoost.
•A U-slot-loaded microstrip antenna is under consideration for wireless
applications.
TOOLS REQUIRED
HFSS
MACHINE
LEARNING
HFSS(High Frequency Structure
Simulator) Software
XGBoost Machine Learning
Algorithm
OBJECTIVE & OUTCOMES
OBJECTIVE
OUTCOME
1. The objective of this project is to design
The expected outcome is to
the U-Slot Loaded Half Circled Antenna
predict the resonance frequency
using HFSS software
for the give dimensions
2. To generate the training data and
implementing the XGBoost machine learning
algorithm
CHALLENGES FACED
Preparing antenna using HFSS software
preparing training data set
Applying the dataset to the XGBoost algorithm
PROPOSED METHOD
STEP-1
Designing the Patch antenna using
RT
Duroid
material
with
the
dielectric constant of 2.2 in the HFSS
software
STEP-2
Applying the half circle fractral
curve to the patch antenna in the
symmetrical manner
STEP-3
Inserting the U shaped slot to
the half circled patch antenna
STEP-4
The training data set is being generated by
changing the geometrical parameters :
• Radius of the half circle(0.1-5mm)
• Length and width of the U slot(1 – 5mm)
This training data set is applied to the
XGBoost Machine Learning Algorithm, for
predicting the resonance frequency.
FLOW CHART
STEP 1
STEP 2
Designing the Patch antenna
using HFSS and applying
fractal curves
Inserting the U-slot Antenna
in the patch antenna
STEP 3
STEP 4
STEP 5
Changing the dimensions of
the U-Slot
Generating the training data
set and applying the
algorithm XGBoost ML
Predicting the Resonant
Frequency
XGBoost Machine Learning Algorithm
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XGBoost is the supervised learning algorithm.
•
The processing speed of the XGBoost algorithm
is high compared to other boosting algorithms.
•
It uses concepts like parallelization, cache
optimization, Distributed computing.
APPLICATIONS
WIRELESS
APPLICATIONS
SATILITE
COMMUNICATION
SPACE CRAFT
COMMUNICATION
MOBILE
COMMUNICATION
CONCLUSION
•For wireless applications, a U-slot-loaded Half-circled antenna is
proposed.
•The resonance frequency is measured by varying the three design
parameters: indentation radius of half-circled, breadth and length of the U-
slot.
•During the training stage, the ML algorithms are taught using the
produced training data set.
•The XGBoost method is then used to predict the resonance frequency.
LITERATURE SURVEY
Sl.No
Year/
Publisher
Proposed Method
1.
2020
IEEE
Xplore
A dual band Double T-Shaped monopole antenna is designed using HFSS
and analysing the performance of the antenna using ANN and KNN
2.
2020
IEEE
The Planar inverted-F antenna is designed and analysing the performance
using different machine learning techniques like ANN, SVM, Linear
Regression and compared the results
3.
2020
WILEY
Microstrip patch antenna is designed and predicted the antenna parameters
with machine learning and using the Gradient desent is used for optimizing
LITERATURE SURVEY
Sl.No
Year
Proposed Method
4.
2021
Intechope
The Slot loaded patches, Slit loaded patches, Ultra-wide band microstrip
antenna and Spiral antenna Vivaldi antenna, Bowtie printed antenna, multiple
patch antenna are designed and compared them for bandwidth enrichment and
multi band operation
5..
2021
SciRes
A regular microstrip patch antenna is designed and analysed the performance
using multi layer Feed Forward back propagation ANN
6.
2021
Spinger
A patch antenna is designed by loading Epsilon Negative Transmission Line to
acquire circular polarization for Wi-Fi and 5G application
THANK
YOU!