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.

引用

页数：3