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

  • Zhengyuan Shi
  • , Yujie Lin*
  • , Xuhui Ding
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名2025 17th International Conference on Communication Software and Networks, ICCSN 2025
出版商Institute of Electrical and Electronics Engineers Inc.
页299-303
页数5
ISBN(电子版)9798331549381
DOI
出版状态已出版 - 2025
已对外发布是
活动17th International Conference on Communication Software and Networks, ICCSN 2025 - Qingdao, 中国
期限: 25 7月 2025 → 27 7月 2025

丛书

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

会议

会议17th International Conference on Communication Software and Networks, ICCSN 2025
国家/地区中国
市Qingdao
时期25/07/25 → 27/07/25

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