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Modulation format recognition with support vector machines (SVM) based on clustering features in high-speed optical fiber communication systems

  • Aoran Zheng
  • , Qi Zhang*
  • , Zhiqi Huang
  • , Xiangjun Xin
  • , Ran Gao
  • , Siyuan Chen
  • , Jing Xu
  • , Fu Wang
  • , Feng Tian
  • , Yongjun Wang
  • , Qinghua Tian
  • , Sitong Zhou
  • , Leijing Yang
  • *Corresponding author for this work

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

Abstract

A blind modulation format recognition scheme is proposed for high-speed optical fiber communication systems. Simulation results demonstrate that the proposed scheme can effectively recognize four QAM modulation formats under low OSNR thresholds.

Original languageEnglish
Title of host publication2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331548759
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event23rd International Conference on Optical Communications and Networks, ICOCN 2025 - Zhangjiajie, China
Duration: 28 Jul 202531 Jul 2025

Publication series

Name2025 23rd International Conference on Optical Communications and Networks, ICOCN 2025

Conference

Conference23rd International Conference on Optical Communications and Networks, ICOCN 2025
Country/TerritoryChina
CityZhangjiajie
Period28/07/2531/07/25

Keywords

  • Modulation format recognition (MFR)
  • clustering
  • high-speed optical fiber communications
  • support vector machines (SVM)

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