• DocumentCode
    1503757
  • Title

    Spectra and Minimum Distances of Repeat Multiple–Accumulate Codes

  • Author

    Ravazzi, Chiara ; Fagnani, Fabio

  • Author_Institution
    Dept. of Math., Politec. di Torino, Torino, Italy
  • Volume
    55
  • Issue
    11
  • fYear
    2009
  • Firstpage
    4905
  • Lastpage
    4924
  • Abstract
    In this paper, the ensembles of repeat multiple- accumulate codes (RAm), which are obtained by interconnecting a repeater with a cascade of m accumulate codes through uniform random interleavers, are analyzed. It is proved that the average spectral shapes of these code ensembles are equal to 0 below a threshold distance epsivm and, moreover, they form a nonincreasing sequence in m converging uniformly to the maximum between the average spectral shape of the linear random ensemble and 0. Consequently the sequence epsivm converges to the Gilbert-Varshamov (GV) distance. A further analysis allows to conclude that if m ges 2 the RAm are asymptotically good and that epsivm is the typical normalized minimum distance when the interleaver length goes to infinity. Combining the two results it is possible to conclude that the typical distance of the ensembles RAm converges to the Gilbert-Varshamov bound.
  • Keywords
    codes; Gilbert-Varshamov distance; linear random ensemble; repeat multiple-accumulate codes; uniform random interleavers; Concatenated codes; Convolutional codes; Error probability; H infinity control; Iterative decoding; Maximum likelihood decoding; Repeaters; Spectral shape; Turbo codes; Upper bound; Asymptotic spectral shape; Gilbert–Varshamov distance; input–output weight distribution; multiple serially concatenated codes; uniform random interleavers;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2030459
  • Filename
    5290279