• DocumentCode
    3064760
  • Title

    Reduced ML-decoding complexity, full-rate STBCs for 4 transmit antenna systems

  • Author

    Srinath, K. Pavan ; Rajan, B. Sundar

  • Author_Institution
    Dept of ECE, Indian Inst. of Sscience, Bangalore, India
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2228
  • Lastpage
    2232
  • Abstract
    For an nt transmit, nr receive antenna system (nt × nr system), a full-rate space time block code (STBC) transmits min (nt, nr) complex symbols per channel use. In this paper, a scheme to obtain a full-rate STBC for 4 transmit antennas and any nr, with reduced ML-decoding complexity is presented. The weight matrices of the proposed STBC are obtained from the unitary matrix representations of a Clifford Algebra. By puncturing the symbols of the STBC, full rate designs can be obtained for nr <; 4. For any value of nr, the proposed design offers the least ML-decoding complexity among known codes. The proposed design is comparable in error performance to the well known Perfect code for 4 transmit antennas while offering lower ML-decoding complexity. Further, when nr <; 4, the proposed design has higher ergodic capacity than the punctured Perfect code. Simulation results which corroborate these claims are presented.
  • Keywords
    MIMO communication; antenna arrays; block codes; communication complexity; matrix algebra; maximum likelihood decoding; receiving antennas; space-time codes; transmitting antennas; Clifford algebra; ML-decoding complexity; full-rate space time block code; high ergodic capacity; punctured perfect code; receive antenna system; transmit antenna systems; unitary matrix representations; weight matrices; Algebra; Block codes; Degradation; MIMO; Maximum likelihood decoding; OFDM; Propagation losses; Quadrature amplitude modulation; Receiving antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513490
  • Filename
    5513490