Satellite Optical Signal Modulation Identification Based on Multiple Features and SVM

  • Jiacheng Mao*
  • , Qi Zhang*
  • , Xiangjun Xin
  • , Meng Sun
  • , Feng Tian
  • , Qinghua Tian
  • , Fu Wang
  • , Yongjun Wang
  • , Leijing Yang
  • , Yuanfeng Li
  • , Furong Chai
  • *Corresponding author for this work

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

Abstract

To address the signal modulation identification problem in satellite optical communication, a signal identification scheme based on multiple features and support vector machines is proposed, and the feasibility and superiority of this scheme are demonstrated.

Original languageEnglish
Title of host publication2023 21st International Conference on Optical Communications and Networks, ICOCN 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350343502
DOIs
Publication statusPublished - 2023
Event21st International Conference on Optical Communications and Networks, ICOCN 2023 - Qufu, China
Duration: 31 Jul 20233 Aug 2023

Publication series

Name2023 21st International Conference on Optical Communications and Networks, ICOCN 2023

Conference

Conference21st International Conference on Optical Communications and Networks, ICOCN 2023
Country/TerritoryChina
CityQufu
Period31/07/233/08/23

Keywords

  • Multiple features
  • Satellite optical communication
  • Signal modulation identification

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