• DocumentCode
    2977733
  • Title

    Stopping set analysis of repeat multiple-accumulate codes

  • Author

    Amat, Alexandre Graell I ; Rosnes, Eirik

  • Author_Institution
    Dept. of Inf., Univ. of Bergen, Bergen, Norway
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1814
  • Lastpage
    1818
  • Abstract
    In this work, we consider a stopping set analysis of repeat multiple-accumulate (RMA) code ensembles formed by the serial concatenation of a repetition code with multiple accumulators. The RMA codes are assumed to be iteratively decoded in a constituent code oriented fashion using maximum a posteriori erasure correction in the constituent codes. We give stopping set enumerators for RMA code ensembles and show that their stopping distance hmin, defined as the size of the smallest nonempty stopping set, asymptotically grows linearly with the block length. Thus, the RMA code ensembles are good for the binary erasure channel. Furthermore, it is shown that, contrary to the asymptotic minimum distance dmin, whose growth rate coefficient increases with the number of accumulate codes, the hmin growth rate coefficient diminishes with the number of accumulators. We also consider random puncturing and show that for sufficiently high code rates, the asymptotic hmin does not grow linearly with the block length, contrary to the asymptotic dmin, whose growth rate coefficient approaches the Gilbert-Varshamov bound as the rate increases. Finally, we give iterative decoding thresholds to show the convergence properties.
  • Keywords
    block codes; channel coding; concatenated codes; convergence of numerical methods; iterative decoding; maximum likelihood decoding; Gilbert-Varshamov bound; binary erasure channel; block length; convergence property; iterative decoding; maximum a posteriori erasure correction; random puncturing method; repeat multiple-accumulate code; serial concatenation code; stopping set analysis; Additive white noise; Concatenated codes; Convergence; Councils; Informatics; Iterative decoding; Maximum likelihood decoding; Parity check codes; Telecommunications; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205334
  • Filename
    5205334