• DocumentCode
    1382650
  • Title

    Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels

  • Author

    Iyengar, Aravind R. ; Papaleo, Marco ; Siegel, Paul H. ; Wolf, Jack Keil ; Vanelli-Coralli, Alessandro ; Corazza, Giovanni E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, CA, USA
  • Volume
    58
  • Issue
    4
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    2303
  • Lastpage
    2320
  • Abstract
    We consider a windowed decoding scheme for LDPC convolutional codes that is based on the belief-propagation (BP) algorithm. We discuss the advantages of this decoding scheme and identify certain characteristics of LDPC convolutional code ensembles that exhibit good performance with the windowed decoder. We will consider the performance of these ensembles and codes over erasure channels with and without memory. We show that the structure of LDPC convolutional code ensembles is suitable to obtain performance close to the theoretical limits over the memoryless erasure channel, both for the BP decoder and windowed decoding. However, the same structure imposes limitations on the performance over erasure channels with memory.
  • Keywords
    convolutional codes; decoding; parity check codes; belief-propagation algorithm; erasure channel; low-density parity-check codes; protograph-based LDPC convolutional codes; windowed decoding scheme; Bismuth; Block codes; Convolutional codes; Decoding; Iterative decoding; Polynomials; Belief propagation; convolutional codes; decoding thresholds; erasure channels; iterative decoding; low-density parity-check codes; stopping sets; windowed decoding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2177439
  • Filename
    6086762