Low-Complexity Maximum Likelihood (ML) Decoder for Space-Time Block Coded Spatial Permutation Modulation (STBC-SPM)

Hsu Hsuan Tu, Che Wei Lee, I. Wei Lai

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Space-time block coded spatial permutation modulation (STBC-SPM) is a new MIMO technique that integraes the STBC-spatial modulation (STBC-SM) and the recently-proposed spatial permutation modulation (SPM). Specifically, SPM exploits the permutation vector to achieve diversity gain by dispersing the signal along the time coordinate. In this work, we examine the STBC-SPM in more details and propose a low-complexity decoder for STBC-SPM by utilizing the orthogonality of the STBC Alamouti code. The numerical simulations demonstrate the superior performance of the STBC-SPM from various aspects. Moreover, the proposed decoder structure achieves up to 90.6% 99. 9 % complexity saving without sacrificing the error rate performance, compared with the optimal maximum likelihood (ML) decoder implemented by the exhaustive search.

原文英語
主出版物標題Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728130385
DOIs
出版狀態已發佈 - 2019 十二月
事件2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, 臺灣
持續時間: 2019 十二月 32019 十二月 6

出版系列

名字Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019

會議

會議2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
國家/地區臺灣
城市Taipei
期間2019/12/032019/12/06

ASJC Scopus subject areas

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理
  • 電腦網路與通信

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