Performance analysis of FSO system with different modulation schemes over gamma-gamma turbulence channel

Haiguang Zhang; Xuan Tang; Bangjiang Lin; Zhenlei Zhou; Chun Lin; Sushank Chaudhary; Z. Ghassemlooy

doi:10.1117/12.2519711

14 February 2019 Performance analysis of FSO system with different modulation schemes over gamma-gamma turbulence channel

Haiguang Zhang, Xuan Tang, Bangjiang Lin, Zhenlei Zhou, Chun Lin, Sushank Chaudhary, Z. Ghassemlooy

Author Affiliations +

Proceedings Volume 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018); 1104812 (2019) https://doi.org/10.1117/12.2519711
Event: 17th International Conference on Optical Communications and Networks (ICOCN2018), 2018, Zhuhai, China

Abstract

Free-space optical communications (FSO) suffers from irradiance fluctuation caused by atmospheric turbulence, which results in optical power loss and consequently decreased signal-to-noise ratio (SNR). The error performances of the FSO based on On-Off Keying (OOK), Differential Phase Shift Keying (DPSK), and Binary Phase Shift Keying (BPSK) schemes in a turbulent atmosphere are presented. The received irradiance after propagating the atmosphere is modeled using the gamma-gamma distribution to evaluate the system error performance in turbulence regimes from weak to strong. The results show that, to obtain a BER of 10^-6 at weak turbulence regime, ~15 dB and ~18 dB SNRs are required for BPSK and DPSK, respectively. However, for OOK with a fixed threshold of 0.5 under the same channel condition, OOK reaches an error floor greater than 10^-3. The values of SNR required to achieve the same BER increase as the turbulence strength increase to moderate and strong regimes.

Citation Download Citation

Haiguang Zhang, Xuan Tang, Bangjiang Lin, Zhenlei Zhou, Chun Lin, Sushank Chaudhary, and Z. Ghassemlooy "Performance analysis of FSO system with different modulation schemes over gamma-gamma turbulence channel", Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 1104812 (14 February 2019); https://doi.org/10.1117/12.2519711

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