• DocumentCode
    414940
  • Title

    Breadth first algorithms for APP detectors over MIMO channels

  • Author

    Le Ruyet, Didier ; Bertozzi, Tanya ; Özbek, Berna

  • Author_Institution
    CNAM, Paris, France
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 June 2004
  • Firstpage
    926
  • Abstract
    For iterative decoding of multiple antenna systems concatenated with an outer error correcting code, it is important to use an a posteriori probability detector for the MIMO detection to achieve near capacity performance. To avoid full APP detection, we propose a reduced complexity detector based on breadth first algorithms. Although these algorithms are sub-optimal, we show that they can provide a good list of candidates for the APP calculation. Furthermore, by exploiting the a priori information delivered from the outer decoder, it is possible to decrease the MIMO detector complexity at each iteration. Using simulation results, we will compare the performance of the proposed detectors with the list sphere detector.
  • Keywords
    MIMO systems; antenna arrays; computational complexity; error correction codes; fading channels; iterative decoding; maximum likelihood detection; tree searching; MIMO channels; a posteriori probability detector; breadth first algorithms; error correcting code; iterative decoding; multiple antenna systems; multiple-input multiple-output channels; Block codes; Capacity planning; Concatenated codes; Detectors; Error correction codes; Fading; Iterative algorithms; Iterative decoding; MIMO; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8533-0
  • Type

    conf

  • DOI
    10.1109/ICC.2004.1312637
  • Filename
    1312637