Extended Kalman-particle filter-based phase noise compensation for CO-OFDM systems

Huiyun Deng; Xinwei Du

doi:10.1117/12.2616568

26 July 2022 Extended Kalman-particle filter-based phase noise compensation for CO-OFDM systems

Huiyun Deng, Xinwei Du

Proceedings Volume 12278, 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing; 122780J (2022) https://doi.org/10.1117/12.2616568
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

Due to longer symbol time duration, the coherent optical orthogonal frequency-division multiplexing (COOFDM) system is more sensitive to the linear phase noise (LPN) than that of the single carrier system. This paper proposes to compensate the LPN in a real-time and dynamic manner based on the extended Kalmanparticle filter (EKPF). The phase noise estimation performance converge to the steady state by utilizing a pilot OFDM symbol, and then decision feedback algorithm is applied for further estimation and detection. Simulations results show that the proposed algorithm can achieve more accurate phase estimation and BER performance compared to the conventional Bayesian filters.

Citation Download Citation

Huiyun Deng and Xinwei Du "Extended Kalman-particle filter-based phase noise compensation for CO-OFDM systems", Proc. SPIE 12278, 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing, 122780J (26 July 2022); https://doi.org/10.1117/12.2616568

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