• DocumentCode
    3315517
  • Title

    Simplified Maximum Likelihood detection for Hi Orthogonal Space-Time Block Coded system

  • Author

    Khan, Adnan Ahmed ; Tasneem, Khawaja Tauseef ; Shah, Syed Ismail

  • Author_Institution
    Nat. Univ. of Sci. & Technol., Islamabad
  • fYear
    2009
  • fDate
    17-18 Feb. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A simplified maximum likelihood (ML) detector for Hi orthogonal space-time block coding (STBC) based on multi-step constellation reduction technique is presented. In the proposed algorithm, complexity is reduced by maintaining small ML search space, instead of searching over the entire constellation. The simulation results suggest that the proposed reduced search-space detection algorithm offers ML performance, while reducing the receiver complexity by more than 50% for the case of M-ary QAM and exactly 50% in case of M-ary PSK with M=16 as compared to the conventional ML detection. The complexity reduction is even more significant for higher modulation levels (M>16). The proposed technique is equally applicable to other STBC schemes.
  • Keywords
    block codes; communication complexity; maximum likelihood detection; orthogonal codes; phase shift keying; quadrature amplitude modulation; search problems; space-time codes; Hi orthogonal space-time block coded system; M-ary PSK; M-ary QAM; STBC schemes; multistep constellation reduction technique; receiver complexity; search-space detection algorithm; simplified maximum likelihood detection; Block codes; Detectors; Fading; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Space technology; Transmitters; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-3313-1
  • Electronic_ISBN
    978-1-4244-3314-8
  • Type

    conf

  • DOI
    10.1109/IC4.2009.4909258
  • Filename
    4909258