A Low-Complexity Horizontal Layering Detection Algorithm for θ-QAM

  • Zhengyuan Shi
  • , Yujie Lin*
  • , Xuhui Ding
  • *Corresponding author for this work

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

Abstract

Parametric quadrature amplitude modulation (θ QAM) has gradually gained attention because of its flexible adaptive structure, which is due to the change of angle θ between constellation points. In this correspondence, we develop a novel detection method called horizontal layered detection (HLD) for M-ary θ-QAM. Based on maximum likelihood estimation, HLD divides the decision region to simplify the detection process. Compared to traditional detection methods, such as maximum likelihood detection (MLD), HLD can achieve the same detection accuracy with significantly lower computational complexity. The simulation results validate the performance advantages of the detection of M-ary θ-QAM over existing methods. Specifically, the detection speed of M-ary θ-QAM can be improved about 10 times.

Original languageEnglish
Title of host publication2025 17th International Conference on Communication Software and Networks, ICCSN 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages299-303
Number of pages5
ISBN (Electronic)9798331549381
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event17th International Conference on Communication Software and Networks, ICCSN 2025 - Qingdao, China
Duration: 25 Jul 202527 Jul 2025

Publication series

Name2025 17th International Conference on Communication Software and Networks, ICCSN 2025

Conference

Conference17th International Conference on Communication Software and Networks, ICCSN 2025
Country/TerritoryChina
CityQingdao
Period25/07/2527/07/25

Keywords

  • QAM
  • detection
  • high order modulation
  • satellite communication

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