• DocumentCode
    787199
  • Title

    Concatenated codes: serial and parallel

  • Author

    Barg, Alexander ; Zémor, Gilles

  • Author_Institution
    Rutgers Univ., Piscataway, NJ, USA
  • Volume
    51
  • Issue
    5
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    1625
  • Lastpage
    1634
  • Abstract
    An analogy is examined between serially concatenated codes and parallel concatenations whose interleavers are described by bipartite graphs with good expanding properties. In particular, a modified expander code construction is shown to behave very much like Forney´s classical concatenated codes, though with improved decoding complexity. It is proved that these new codes achieve the Zyablov bound δZ on the minimum distance. For these codes, a soft-decision, reliability-based, linear-time decoding algorithm is introduced, that corrects any fraction of errors up to almost δZ/2. For the binary-symmetric channel, this algorithm´s error exponent attains the Forney bound previously known only for classical (serial) concatenations.
  • Keywords
    concatenated codes; graph theory; interleaved codes; linear codes; Forney´s classical code; Zyablov bound; binary-symmetric channel; bipartite graphs; decoding complexity; error exponent; expander code construction; interleavers; linear-time decoding algorithm; minimum distance; minsum algorithm; serial-parallel concatenated codes; soft-decision codes; Bipartite graph; Concatenated codes; Convergence; Equations; Error correction; Error correction codes; Graph theory; Information theory; Iterative decoding; Product codes; Bipartite-graph codes; Forney bound; Zyablov bound; concatenated codes; expander codes; min-sum algorithm; soft-decision decoding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.846392
  • Filename
    1424305