• DocumentCode
    3575087
  • Title

    Adaptive Detection for STBCS in IEEE802.11AC

  • Author

    Ghose, Debasish ; Roy, Smriti Kana ; Hung Ta Pai ; Chun Yi Wei

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taipei Univ., Taipei, Taiwan
  • fYear
    2014
  • Firstpage
    452
  • Lastpage
    455
  • Abstract
    An adaptive detection scheme is proposed on the very fast detection algorithm for Space-time block code in IEEE 802.11ac. At first, QR decomposition is applied to the channel matrix for getting an upper triangular matrix and has been achieved the required number of candidate constellation points around the maximum likelihood (ML) points without considering all possible candidate constellation set. Finally, the ratio of the diagonal elements of upper triangular matrix adaptively determines the number of candidates to reduce the further complexity of the searching process. However, the error performance of the proposed scheme is not very close to the ML detection, but the computational complexity can be reduced by 83% as compared to the very fast detection algorithm at a bit error rate (BER) 10-4.
  • Keywords
    error statistics; matrix algebra; maximum likelihood detection; space-time block codes; wireless LAN; BER; IEEE 802.11ac; STBC; adaptive detection; bit error rate; channel matrix; maximum likelihood; space-time block code; triangular matrix; Adaptive systems; Bit error rate; Block codes; Computational complexity; Matrix decomposition; Transmitting antennas; Computational complexity; QR decomposition; adaptive detection; channel matrix; maximum-likelihood detection; multi-input multi-output (MIMO)system; quasi-orthogonal STBCs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014 IEEE Intl Conf on
  • Print_ISBN
    978-1-4799-6122-1
  • Type

    conf

  • DOI
    10.1109/HPCC.2014.76
  • Filename
    7056780