• DocumentCode
    2750992
  • Title

    Low-complexity branch metric calculation for decoding of space-time trellis codes

  • Author

    Shr, Kai-Ting ; Huang, Yuan-Hao

  • Author_Institution
    Nat. Tsing-Hua Univ., Hsinchu
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 2 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Space-time trellis codes (STTC) have recently been proposed to use in the coded multiple-input multiple-output (Coded MIMO) communications. Viterbi algorithm is the basic decoder used to retrieve the transmitted information, by which the impaired information can be corrected by the path record determined by accumulating the branch metrics. However, the computational complexity of the branch metric in Viterbi decoding for STTC is extremely high in spite of its high reliability. Moreover, the computational complexity also increases significantly along with the number of antennas and the order of modulation. To reduce the computational burden, we propose a new method to compute the branch metrics in the geometric view. The degree of complexity reduction is very impressive at sacrifice of a little degradation of coding gain. The simulation results show that more complexity reduction can be achieved when more antennas and higher order of modulation are applied.
  • Keywords
    MIMO communication; Viterbi decoding; computational complexity; space-time codes; trellis codes; STTC; Viterbi decoding; coded MIMO; coded multiple-input multiple-output communications; computational complexity; low-complexity branch metric calculation; space-time trellis codes; Computational complexity; Computer architecture; Convolutional codes; Hardware; MIMO; Maximum likelihood decoding; Receiving antennas; Transmitters; Transmitting antennas; Viterbi algorithm; branch metrics; complexity reduction; geometric; space-time trellis codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2007 - 2007 IEEE Region 10 Conference
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-1272-3
  • Electronic_ISBN
    978-1-4244-1272-3
  • Type

    conf

  • DOI
    10.1109/TENCON.2007.4428827
  • Filename
    4428827