• DocumentCode
    2125008
  • Title

    Soft QRD-M decoding for coded IFDMA systems

  • Author

    Png, Khiam-Boon ; Peng, Xiaoming ; Chin, Francois ; Ko, Chi Chung

  • Author_Institution
    Inst. for Infocomm Res. (IR), Singapore, Singapore
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    2350
  • Lastpage
    2354
  • Abstract
    In this paper, a low complexity a posterior probability (APP) detector based on breadth-first tree search algorithm is purposed for coded interleaved frequency division multiple access (IFDMA) system. The proposed detector combines the principles of the M-algorithm with QR decomposition (QRD-M) to generate soft decision statistics in place of the full APP detector which has a high computational cost. We first demonstrate that an IFDMA system can be viewed as a MIMO system at the receiver and then derive the proposed detector. Simulated results show that the bit error rate (BER) performance of a system using the proposed QRD-M detector performs better than a system using frequency domain equalizer, especially for channels with greater diversity. Moreover, the simulated BER performance exhibits similar diversity order as the maximum channel diversity order.
  • Keywords
    MIMO communication; decoding; error statistics; frequency division multiple access; maximum likelihood detection; trees (mathematics); BER performance; MIMO system; QR decomposition; a posterior probability detector; bit error rate; breadth-first tree search algorithm; coded IFDMA systems; frequency domain equalizer; interleaved frequency division multiple access; maximum channel diversity order; soft QRD-M decoding; Bit error rate; Computational efficiency; Computational modeling; Decoding; Detectors; Frequency conversion; Frequency domain analysis; MIMO; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5449779
  • Filename
    5449779