Acta Optica Sinica, Volume. 41, Issue 6, 0606002(2021)
Polarization Demultiplexing Algorithm for Probabilistically Shaped Signals in Coherent Optical Communication
To deal with the problem of polarization demultiplexing in coherent optical communication systems for probabilistically shaped scenes, this paper proposes a polarization demultiplexing algorithm based on independent component analysis and maximum likelihood estimation. Due to the independence between the signals, the polarization demultiplexing of signals can be realized by the independent component analysis. The iterative update based on maximum likelihood estimation is used to find the best separation matrix, which is the polarization demultiplexing matrix. The performance of the algorithm under different optical signal-to-noise ratios and the tolerance of the shaping intensity are simulated and analyzed. The results show that the proposed scheme can cope with different probabilistically shaped intensities, and can achieve good polarization demultiplexing in a large optical signal-to-noise ratio range. Compared with the constant modulus algorithm for standard signals, this scheme will not be affected by the shaping intensity. As the shaping intensity increases, the performance of the system can be improved.
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Zhiying Lin, Yanfu Yang, Qian Xiang, Chao Gu, Yong Yao. Polarization Demultiplexing Algorithm for Probabilistically Shaped Signals in Coherent Optical Communication[J]. Acta Optica Sinica, 2021, 41(6): 0606002
Category: Fiber Optics and Optical Communications
Received: Sep. 14, 2020
Accepted: Nov. 9, 2020
Published Online: Apr. 7, 2021
The Author Email: Yang Yanfu (yangyanfu@hit.edu.cn)