基于人工智能的光纤非线性均衡算法研究概述

doi:10.11959/j.issn.1000-0801.2020054

Abstract

Abstract:

The necessity and importance of nonlinear equalization algorithm in optical transmission systems were outlined.The principle of classical nonlinear equalization algorithm was described,and the shortcomings and limitations of classical algorithms were presented.Combined with the status in recent years,four kinds of nonlinear equalization algorithms based on artificial intelligence were introduced in detail.These algorithms include artificial neural networks,support vector machine,unsupervised clustering and deep neural network.All the nonlinear equalization algorithms mentioned were compared in terms of performance,complexity,instantaneity and application flexibility.Finally,the future development trend of nonlinear equalization algorithm based on artificial intelligence was analyzed.

Key words: nonlinear equalization, artificial neural network, support vector machine, clustering, deep neural network

CLC Number:

TN911.22

Yajie LI,Yongli ZHAO,Shoudong LIU,Jie ZHANG. Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence[J]. Telecommunications Science, 2020, 36(3): 61-70.

Figures/Tables 5

References 30

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算法	原理	性能	复杂度	实时性	应用灵活性
简单DSP算法	降低OFDM峰均比	一般	低	差	一般
常用DSP算法（如DBP）	非线性薛定谔方程建模	较好	高	差	一般
基于ANN的非线性均衡算法	非线性判决或非线性映射	较好	较高	较好	较好
基于SVM的非线性均衡算法	非线性判决或非线性映射	较好	较高	较好	较好
基于聚类的非线性均衡算法	非线性判决	较好	低	好	好
基于DNN的非线性均衡算法	非线性判决或非线性映射	较好	较高	较好	较好

Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence

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