• DocumentCode
    512415
  • Title

    Reduced complexity ML detection algorithm for V-BLAST architectures

  • Author

    Chen, Wenbai ; Zhang, Xiaopin ; Li, Wei

  • Author_Institution
    Beijing Univ. of Posts & Telecom (BUPT), Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    Vertical Bell-laboratories Space-Time (V-BLAST) is a multiple transmit and multiple receive antennas (MIMO) wireless systems. V-BLAST attains very high spectral efficiency while maintaining low implementation complexity. Among the detection algorithms of V-BLAST, Maximum Likelihood (ML) detection scheme performs the best, and however, its complexity is excessively high. To solve the problem, a reduced complexity ML detection algorithm is proposed in this paper. This scheme takes advantage of OSIC detection algorithm to reduce the number of constellation point in ML detection. Simulation results show that the proposed scheme reduces the computational complexity greatly and achieves high detection performance which is close to ML detection.
  • Keywords
    MIMO communication; computational complexity; maximum likelihood detection; receiving antennas; spectral analysis; transmitting antennas; MIMO wireless system; OSIC detection algorithm; V-BLAST architecture; computational complexity; maximum likelihood detection scheme; multiple receive antenna; multiple transmit antenna; spectral efficiency; vertical bell-laboratories space-time; Antenna accessories; Computational complexity; Computational modeling; Detection algorithms; Interference cancellation; Iterative algorithms; MIMO; Maximum likelihood detection; Receiving antennas; Transmitting antennas; MIMO system; ML detection; OSIC detection; V-BLAST;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406459
  • Filename
    5406459