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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-03-01
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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. |
format | Article |
id | doaj-art-1c697557093948cf9091bc06c45ee4cb |
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/ |
work_keys_str_mv | AT yajieli overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence AT yonglizhao overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence AT shoudongliu overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence AT jiezhang overviewofresearchonfibernonlinearequalizationalgorithmbasedonartificialintelligence |