Study of the Atmospheric Turbulence in Free Space Optical Communications M. Ijaz, Shan Wu, Zhe Fan, W.O. Popoola and Z. Ghassemlooy Optical Communications Research Group, NCRLab, School of Computing, Engineering and Information Sciences, Northumbria University, UK http://soe.unn.ac.uk/ncrlab/ Muhammad Ijaz 1 PGNET2009 Contents Introduction Free Space Optical Communication Atmospheric Turbulence Refractive Index Fluctuations Experimental Work and Procedure Results and Discussions Conclusions Muhammad Ijaz 2 PGNET2009 Introduction- Research Aim • Free space optical communications is currently seen as a promising alternative technology for bandwidth hungry applications, particularly within the last mile access networks. • The applications of FSO includes base station to base station in cellular networks, building to building, multicampus university networks, airports, hospitals, a high-speed, high-capacity back up link and disaster recovery links • FSO systems offer rapid deployment with no need for trenches and its spectrum is licence free unlike the radio communication spectrum • Despite the absorption and scattering from the constituents of the atmosphere, FSOC can be severely affected by the inhomogenities in the temperature(Turbulence) on the clear day • In this research work the affect of atmospheric turbulence on FSOC link is studied experimentally under controlled environment. Muhammad Ijaz 3 PGNET2009 Introduction-Free Space Optical Communication Muhammad Ijaz 4 PGNET2009 Atmospheric Turbulence • Atmospheric turbulence results from thermal gradients within the optical path caused by the variation in air temperature and density • Random distributed cells are formed. • They have variable size (10 cm - 1 km) and different temperature. • These various cells have different refractive indexes thus causing scattering, multipath variation of the arriving signal Muhammad Ijaz 5 PGNET2009 Refractive Index fluctuations • Refractive index is highly dependent on the small scale temperature fluctuations in air defined by n(R,t) = no + n1(R,t) • Where no is mean index of refraction (no = 1) and n1(R,t) is the random deviation of index from its mean value. • Where R is the vector position in three dimension and t is the time. • n1(R,t) is dependent on the temperature and pressure and is given by Muhammad Ijaz 6 PGNET2009 Refractive Index Fluctuations-cont • The differentiation of the above equation tell us about the dependence of temperature small variations in the temperature gives us large change in the refraction index • Where P and T are absolute temperature and Pressure respectively. Muhammad Ijaz 7 PGNET2009 Laser Beam Deformation • Laser beam wander due to turbulence cells which are larger than the beam diameter. • Scintillation or fluctuations in beam intensity at the receiver due to turbulent cells that are smaller than the beam diameter. Isaac I. Kim et al (1998) Muhammad Ijaz 8 PGNET2009 Experimental Work and Procedure Muhammad Ijaz 9 PGNET2009 Experimental Work and Procedure-cont Main simulation parameters used in the experiment Muhammad Ijaz Parameter Value Optical source laser diode (Beta Tx) Optical Beta-Tx wavelength Maximum optical power Class IIIb Maximum data rate PIN photo detector SFH203PFA switching time Modulation type 1Mbps 0.5μs Optical band-pass filter Turbulence simulation chamber Temperature range 800nm-1100nm 140×30×30cm 850nm 3mW OOK 20℃-80℃ 10 PGNET2009 Results and DiscussionThe Strength of the Turbulence • In order to characterize the strength of turbulence generated within the simulated turbulence chamber, the received average signal with and without the turbulence was studied. • The signal distribution without and with scintillation are fitted to a Gaussian distributions and log normal respectively X • The turbulence model discussed thus far is valid for the weak turbulence with small values of σx2 Strength of Fluctuations Weak Intermediate Strong Muhammad Ijaz Rytov Variance σx2 < 0.3 σx2 ≈1 σx2>>1 11 PGNET2009 The Strength of the Turbulence-cont The value of the log intensity variance was calculated to be 0.002 Results in weak turbulence while without scintillation; the noise variance was 10-5. 50 60 Experimental Theoretical Experimental Theoretical 40 Number of occurencs Number of Occurences 50 45 40 30 20 35 30 25 20 15 10 10 5 0 0 0.005 0.01 0.015 Value of Sample 0.02 The received average signal (without scintillation) Muhammad Ijaz 0.025 0 0.1 0.15 0.2 0.25 0.3 0.35 0.4 Value of Sample 0.45 0.5 0.55 0.6 The received average signal (with scintillation) 12 PGNET2009 BER Evaluation Binary signal with additive noise and PDFs for the binary signal with the threshold • where a0 and a1 are probabilities of transmission for binary ones and zeros respectively and P0 and P1 are given by . Muhammad Ijaz 13 PGNET2009 BER Evaluation-cont The received signal distribution(without scintillation) Dotted lines -Theoretical fit solid line –experimental data The received signal distribution(with scintillation) Dotted lines -Theoretical fit solid line –experimental data Temperature (°C) Muhammad Ijaz BER T4 T1 36 30 6.84×10 -4 39 34 3.94×10 -4 45 39 3.24×10 -4 55 49 2.74×10 -4 59 53 6.63×10 -5 60 54 1.93×10 -4 14 PGNET2009 Optical Power Loss vs. Temperature • The measured variance of the power fluctuation was 0.012 • This also confirms that the turbulence generated was indeed very weak during our study. Muhammad Ijaz 15 PGNET2009 Conclusion • In this research work the effect of turbulence in FSOC is studied experimentally. • The experimental data showed that if scintillation effect is not mitigated, it can cause a serious impairment to the performance and availability of an FSO link. • From an error free link, the simulated turbulence (weak in strength) caused the BER to degrade to about 10-4. Muhammad Ijaz 16 PGNET2009 Special Thanks for Prof. Z. Ghassemlooy Mr. W. Popoola All colleagues in NCRL & Your Attention 17 Thank You ! Question, please ? 18