An investigation on digital signal processing for coherent optical communication system with advanced modulation format

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI:10.1109/CEECT50755.2020.9298642

Simiao Huang

{"title":"An investigation on digital signal processing for coherent optical communication system with advanced modulation format","authors":"Simiao Huang","doi":"10.1109/CEECT50755.2020.9298642","DOIUrl":null,"url":null,"abstract":"In recent years, many new applications such as cloud computing, Internet of Things (IoT), artificial intelligence (AI) are developing rapidly, which put large capacity requirements on communication network. Coherent optical communication systems based on advanced modulation format have been extensively studied to improve transmission capacity. High-order modulation format requires a better signal-to-noise ratio (SNR) for signal receiving. However, the various damages in transmission links would decrease SNR. In this paper, digital signal processing (DSP) techniques are investigated to compensate signal damages, including Time-domain equalization (TDE) algorithm to compensate chromatic dispersion (CD), constant mode algorithm (CMA) and direct decision least mean square (DD-LMS) algorithm to compensate polarization mode dispersion (PMD), fourth power algorithm to correct frequency deviation, Viterbi & Viterbi and Blind Phase Search (BPS) algorithms to estimate phase noise. Moreover, constellation shaping technology is also discussed to make the transmission capacity closer to Shannon limit.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT50755.2020.9298642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

In recent years, many new applications such as cloud computing, Internet of Things (IoT), artificial intelligence (AI) are developing rapidly, which put large capacity requirements on communication network. Coherent optical communication systems based on advanced modulation format have been extensively studied to improve transmission capacity. High-order modulation format requires a better signal-to-noise ratio (SNR) for signal receiving. However, the various damages in transmission links would decrease SNR. In this paper, digital signal processing (DSP) techniques are investigated to compensate signal damages, including Time-domain equalization (TDE) algorithm to compensate chromatic dispersion (CD), constant mode algorithm (CMA) and direct decision least mean square (DD-LMS) algorithm to compensate polarization mode dispersion (PMD), fourth power algorithm to correct frequency deviation, Viterbi & Viterbi and Blind Phase Search (BPS) algorithms to estimate phase noise. Moreover, constellation shaping technology is also discussed to make the transmission capacity closer to Shannon limit.

查看原文本刊更多论文

先进调制格式相干光通信系统数字信号处理研究

近年来，云计算、物联网(IoT)、人工智能(AI)等许多新应用迅速发展，对通信网络提出了大容量需求。为了提高传输容量，基于先进调制格式的相干光通信系统得到了广泛的研究。高阶调制格式对信号接收的信噪比要求较高。然而，传输链路的各种损坏会降低信噪比。本文研究了用于补偿信号损伤的数字信号处理(DSP)技术，包括补偿色散(CD)的时域均衡(TDE)算法、补偿极化模色散(PMD)的恒模算法(CMA)和直接决策最小均方(DD-LMS)算法、校正频率偏差的四次方算法、估计相位噪声的Viterbi & Viterbi和盲相位搜索(BPS)算法。此外，还讨论了星座整形技术，使传输容量更接近香农极限。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 International Conference on Electrical Engineering and Control Technologies (CEECT)

自引率

0.00%

发文量