• DocumentCode
    824890
  • Title

    Nonlinear analysis of the iterative decoding of parallel concatenated convolutional codes

  • Author

    Lehmann, Frederic ; Maggio, Gian Mario

  • Author_Institution
    Dept. CITI, GET/INT, Evry, France
  • Volume
    51
  • Issue
    6
  • fYear
    2005
  • fDate
    6/1/2005 12:00:00 AM
  • Firstpage
    2190
  • Lastpage
    2198
  • Abstract
    In this correspondence, we introduce a simple one-dimensional (1-D) nonlinear map to describe the iterates of the bit-error rate (BER) of parallel-concatenated convolutional codes (PCCC) on the binary-input Gaussian channel. A lower bound on this map is derived based upon the weight enumerator of the constituent codes, thus enabling the characterization of the dynamics of the decoder in terms of fixed points, along with the associated stability analysis.
  • Keywords
    Gaussian channels; concatenated codes; convolutional codes; error statistics; iterative decoding; nonlinear dynamical systems; BER; PCCC; associated stability analysis; binary-input Gaussian channel; bit-error rate; constituent code; iterative decoding; nonlinear analysis; one-dimensional nonlinear map; parallel concatenated convolutional code; weight enumerator; Bit error rate; Concatenated codes; Convolutional codes; Gaussian channels; Information analysis; Iterative algorithms; Iterative decoding; Parity check codes; Stability analysis; Turbo codes; Concatenated codes; Gaussian densities; density evolution; iterative decoding; nonlinear dynamics; stability condition;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.847751
  • Filename
    1435661