Fiber Nonlinearity Equalizer using MLP-ANN for Coherent Optical OFDM

被引：27
|
作者：
Zhang, Haojie [1 ]
Yu, Zhenming [1 ]
Shu, Liang [1 ]
Wan, Zhiquan [1 ]
Zhao, Yilun [1 ]
Xu, Kun [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
来源：
2019 18TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS AND NETWORKS (ICOCN) | 2019年
关键词：
Fiber optical communication; Nonlinearity effect; OFDM;
D O I：
10.1109/icocn.2019.8934433
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
We propose a novel artificial neural network nonlinearity equalizer based on multiple layers perceptron(MLP-ANN NLE) for 16-quadrature amplitude modulation (16-QAM) coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. The scheme is effective for compensating for the four-wave mixing effect among subcarriers. Compared with the situation of non-compensated nonlinearity, this proposed scheme can increase the Q factor by 1.4 dB and 0.6 dB at 600 km and 2000 km respectively and the transmission distance can be increased by 400 km. It also shows a strong robustness in nonlinearity compensation.
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收藏
页数：3
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