@inproceedings{722278e156bc4e65aaa291a29320da31,
title = "Nonlinear equalization method based on Gaussian mixture model clustering algorithm for a coherent optical OFDM communication system",
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.",
keywords = "Clustering Algorithm, Coherent Optical OFDM, Fiber Nonlinearity Equalizer, Gaussian Mixture Model (GMM)",
author = "Tian Wang and Qinghua Tian and Qi Zhang and Yongjun Wang and Feng Tian and Xishuo Wang and Leijing Yang and Yunxiao Zu and Xiangjun Xin",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 2020 Applied Optics and Photonics China: Optical Information and Network, AOPC 2020 ; Conference date: 30-11-2020 Through 02-12-2020",
year = "2020",
doi = "10.1117/12.2580152",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jie Zhang and Songnian Fu and He Zhang",
booktitle = "AOPC 2020",
address = "United States",
}