• DocumentCode
    2729965
  • Title

    Performance analysis of weighted nonbinary repeat multiple-accumulate codes

  • Author

    Rosnes, Eirik ; Graell i Amat, Alexandre

  • Author_Institution
    Dept. of Inf., Univ. of Bergen, Bergen, Norway
  • fYear
    2010
  • fDate
    6-10 Sept. 2010
  • Firstpage
    236
  • Lastpage
    240
  • Abstract
    In this work, we consider weighted nonbinary repeat multiple-accumulate (WNRMA) code ensembles formed by the serial concatenation of a repetition code with multiple accumulators, where each encoder is followed by a nonbinary weighter. The WNRMA codes are assumed to be iteratively decoded using the turbo principle with maximum a posteriori constituent decoders. We give approximate weight enumerators for WNRMA code ensembles and show numerically that their symbol-wise minimum distance asymptotically grows linearly with the block length for the considered values of the repetition factor n and the field size q. Thus, WNRMA code ensembles are asymptotically good. Finally, we give iterative decoding thresholds, computed by an extrinsic information transfer chart analysis, and some simulation results on the q-ary symmetric channel to show the convergence properties.
  • Keywords
    encoding; iterative decoding; ρ-ary symmetric channel; WNRMA codes; iterative decoding; performance analysis; repetition code; serial concatenation; weighted nonbinary repeat multiple accumulate code; Artificial neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
  • Conference_Location
    Brest
  • Print_ISBN
    978-1-4244-6744-0
  • Electronic_ISBN
    978-1-4244-6745-7
  • Type

    conf

  • DOI
    10.1109/ISTC.2010.5613848
  • Filename
    5613848