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5 November 2020 Nonlinear equalization method based on Gaussian mixture model clustering algorithm for a coherent optical OFDM communication system
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Proceedings Volume 11569, AOPC 2020: Optical Information and Network; 115690K (2020) https://doi.org/10.1117/12.2580152
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
In this paper, an unsupervised clustering algorithm based on the Gaussian Mixture Model (UCGMM algorithm) for the coherent optical OFDM communication system is proposed to determine the constellation diagram. The purpose of nonlinear equalization of communication systems is achieved. In a back to back transmission system, compared to the Kmeans algorithm and the without any clustering algorithm, the UCGMM algorithm can obtain gains of approximately 0.6dB and 2dB respectively. For the cases of simulation in optical fiber transmission, the transmission distance of UCGMM algorithm is extended by 45km relative to the K-means algorithm, and 75km relative to without any clustering algorithm. In both cases, the effectiveness of the proposed UCGMM algorithm in nonlinear equilibrium is proved.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tian Wang, Qinghua Tian, Qi Zhang, Yongjun Wang, Feng Tian, Xishuo Wang, Leijing Yang, Yunxiao Zu, and Xiangjun Xin "Nonlinear equalization method based on Gaussian mixture model clustering algorithm for a coherent optical OFDM communication system", Proc. SPIE 11569, AOPC 2020: Optical Information and Network, 115690K (5 November 2020); https://doi.org/10.1117/12.2580152
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