• DocumentCode
    2554023
  • Title

    Approximate ML Detection for MIMO-OFDM Systems Using Multistage Chase Detection Algorithm

  • Author

    Yang, Tiejun ; Fu, Hongliangi

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In recent publications, some special detectors were proposed to improve the performance and complexity gaps between the optimal detector and the suboptimal detector. In this paper, we propose a multistage chase detection algorithm for MIMO-OFDM systems, which use chase detection framework to design sub-detector, so the nest chase detection was implemented that can further decrease the error spread and improve the BER performance. Simulation results show that the proposed schemes performs better than BLAST and conventional chase detection, which can achieve near-ML performance with lower complexity compared with ML algorithm.
  • Keywords
    MIMO communication; OFDM modulation; error statistics; maximum likelihood detection; BER performance; BLAST; MIMO-OFDM systems; ML detection; chase detection framework; multistage chase detection algorithm; Bit error rate; Complexity theory; Detection algorithms; Detectors; MIMO; OFDM; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600656
  • Filename
    5600656