光通信研究2024,Issue(2) :30-41.DOI:10.13756/j.gtxyj.2024.220075

深度学习在光纤通信系统损伤补偿中的应用

Application of Deep Learning in Impairments Compensation of Optical Fiber Communication

郭虹 邓鹏程 杨慧
光通信研究2024,Issue(2) :30-41.DOI:10.13756/j.gtxyj.2024.220075

深度学习在光纤通信系统损伤补偿中的应用

Application of Deep Learning in Impairments Compensation of Optical Fiber Communication

郭虹 1邓鹏程 1杨慧1
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作者信息

  • 1. 西南交通大学 信息科学与技术学院,成都 610031
  • 折叠

摘要

随着社会信息化程度的逐步提升,人们对光纤通信系统容量的需求持续增长.信道损伤一直是限制光纤通信容量提升的关键因素,信道损伤补偿作为光纤通信系统的基础性功能和关键技术也在不断改进.近年来,将深度学习应用到光纤通信信道损伤补偿中更是吸引了不少研究人员的关注.文章介绍了近年来应用于光纤通信中的常见深度学习模型,阐述了深度学习技术在光纤通信系统信号损伤补偿方面的发展情况.

Abstract

With the development of the social informatization,the demand for optical fiber communication system capacity con-tinues to grow.Channel impairment has always been the key factor limiting the capacity in optical fiber communication system.As the basic function and key technology in optical fiber communication system,channel impairment compensation is constant-ly improved.Applying deep learning technology in channel impairment compensation of optical fiber communication has attrac-ted the attention of many researchers.This paper introduces the common deep learning models used and the development of deep learning technology for impairments compensation of optical fiber communication systems in recent years.

关键词

光纤通信系统/深度学习/神经网络/损伤补偿

Key words

fiber-optic communication system/deep learning/neural network/impairments compensation

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基金项目

四川省科技厅重点研发计划资助项目(2020YFSY0021)

出版年

2024
光通信研究
武汉邮电科学研究院企管部

光通信研究

CSTPCD北大核心
影响因子:0.327
ISSN:1005-8788
参考文献量45
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