RLS-Adam Algorithm for Time-Domain Equalizers in IM/DD Systems

Zhe Cao*, Yuwei Liu, Tianwai Bo, Zhongwei Tan, Yi Dong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose and experimentally demonstrate a recursive least square based adaptive moment estimation (RLS-Adam) algorithm for updating the coefficients of time-domain equalizers with faster convergence speed and reduced complexity.

Original languageEnglish
Title of host publication2022 Asia Communications and Photonics Conference, ACP 2022 and International Conference on Information Photonics and Optical Communications, IPOC 2022
PublisherOptica Publishing Group (formerly OSA)
Pages786-788
Number of pages3
ISBN (Electronic)9781665481557
DOIs
Publication statusPublished - 2022
Event2022 Asia Communications and Photonics Conference, ACP 2022 and International Conference on Information Photonics and Optical Communications, IPOC 2022 - Shenzhen, China
Duration: 5 Nov 20228 Nov 2022

Publication series

NameAsia Communications and Photonics Conference, ACP
Volume2022-November
ISSN (Print)2162-108X

Conference

Conference2022 Asia Communications and Photonics Conference, ACP 2022 and International Conference on Information Photonics and Optical Communications, IPOC 2022
Country/TerritoryChina
CityShenzhen
Period5/11/228/11/22

Keywords

  • Data center
  • RLS-Adam algorithm
  • Time-domain equalizer

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