• DocumentCode
    1642020
  • Title

    Pairwise joint probability propagation in BICM-ID

  • Author

    Alberge, Florence

  • Author_Institution
    Lab. des Signaux et Syst., Univ. Paris-Sud, Orsay, France
  • fYear
    2012
  • Firstpage
    6
  • Lastpage
    10
  • Abstract
    The iterative decoding of BICM is analyzed from an optimization point of view. The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. Simulations show the favorable behavior of the proposed method.
  • Keywords
    approximation theory; computational complexity; iterative decoding; maximum likelihood decoding; optimisation; probability; BICM-ID; bit-interleaved coded modulation; coarse approximation; computational complexity; objective function; optimal maximum likelihood decoding; optimization point of view; pairwise joint probability propagation; refined approximation; standard iterative decoding; Approximation methods; Bit error rate; Iterative decoding; Joints; Linear programming; Maximum likelihood decoding; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Iterative Information Processing (ISTC), 2012 7th International Symposium on
  • Conference_Location
    Gothenburg
  • ISSN
    2165-4700
  • Print_ISBN
    978-1-4577-2114-4
  • Electronic_ISBN
    2165-4700
  • Type

    conf

  • DOI
    10.1109/ISTC.2012.6325188
  • Filename
    6325188