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

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 year...

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Main Authors: Yajie LI, Yongli ZHAO, Shoudong LIU, Jie ZHANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2020-03-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020054/
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author Yajie LI
Yongli ZHAO
Shoudong LIU
Jie ZHANG
author_facet Yajie LI
Yongli ZHAO
Shoudong LIU
Jie ZHANG
author_sort Yajie LI
collection DOAJ
description 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.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2020-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-1c697557093948cf9091bc06c45ee4cb2025-01-15T03:01:01ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-03-0136617059584096Overview of research on fiber nonlinear equalization algorithm based on artificial intelligenceYajie LIYongli ZHAOShoudong LIUJie ZHANGThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020054/nonlinear equalizationartificial neural networksupport vector machineclusteringdeep neural network
spellingShingle Yajie LI
Yongli ZHAO
Shoudong LIU
Jie ZHANG
Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
Dianxin kexue
nonlinear equalization
artificial neural network
support vector machine
clustering
deep neural network
title Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
title_full Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
title_fullStr Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
title_full_unstemmed Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
title_short Overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
title_sort overview of research on fiber nonlinear equalization algorithm based on artificial intelligence
topic nonlinear equalization
artificial neural network
support vector machine
clustering
deep neural network
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020054/
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AT yonglizhao overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence
AT shoudongliu overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence
AT jiezhang overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence