• DocumentCode
    2729224
  • Title

    Minimum distance properties of multiple-serially concatenated codes

  • Author

    Ravazzi, Chiara ; Fagnani, Fabio

  • Author_Institution
    DIMAT, Politec. di Torino, Torino, Italy
  • fYear
    2010
  • fDate
    6-10 Sept. 2010
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    In this paper minimum distance properties of multiple-serial turbo codes, obtained by coupling an outer code with a cascade of m rate-1 recursive convolutional encoders through uniform random interleavers, are studied. The parameters that make the ensemble asymptotically good are identified. In particular, it is shown that, if m = 2 and the free distance of the outer encoder dfo ≥ 3, or if m ≥ 3 and dfo ≥ 2, then the minimum distance scales linearly in the interleaver length with high probability. Through the analysis of the asymptotic spectral functions, a lower bound for the asymptotic growth rate coefficient is provided. Finally, under a weak algebraic condition on the outer encoder, it is proved that the sequence of normalized minimum distances of these concatenated coding schemes converges to the Gilbert-Varshamov (GV) distance when m goes to infinity.
  • Keywords
    concatenated codes; convolutional codes; turbo codes; Gilbert-Varshamov distance; asymptotic growth rate coefficient; asymptotic spectral functions; concatenated coding schemes; interleaver length; minimum distance properties; multiple-serial turbo codes; multiple-serially concatenated codes; normalized minimum distances; recursive convolutional encoders; uniform random interleavers; weak algebraic condition; Asymptotic spectral function; convolutional encoder input-output weight distribution; maximum likelihood decoding; turbo-like codes; uniform random interleavers;
  • 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.2010.5613807
  • Filename
    5613807