• DocumentCode
    1108081
  • Title

    Performance of Parallel Concatenated Coding Schemes

  • Author

    Fagnani, Fabio

  • Author_Institution
    Politec. di Torino, Turin
  • Volume
    54
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    1521
  • Lastpage
    1535
  • Abstract
    In this paper, ensembles of parallel concatenated codes are studied and rigorous results on their asymptotic performance, under the assumption of maximum-likelihood (ML) decoding, are presented. In particular, it is proven that in any parallel concatenation scheme with k branches where all k encoders are recursive and the Bhattacharyya parameter of the channel is sufficiently small, the bit-error rate (BER) and the word-error rate go to 0 exactly like N 1- k and N 2- k, respectively. Different types of ensembles by changing the subgroup of permutations used to interconnect the various encoders, are considered.
  • Keywords
    error statistics; maximum likelihood decoding; Bhattacharyya parameter; bit-error rate; maximum likelihood decoding; parallel concatenated coding schemes; parallel concatenation scheme; Bit error rate; Combinatorial mathematics; Concatenated codes; Convolutional codes; Interleaved codes; Iterative decoding; Maximum likelihood decoding; Performance analysis; Performance gain; Upper bound; Bit-error rate (BER); ensemble of codes; interleaver gain; parallel concatenated codes; recursive convolutional encoders;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2008.917647
  • Filename
    4475367