• DocumentCode
    2730832
  • Title

    Asymptotically good LDPC convolutional codes with AWGN channel thresholds close to the Shannon limit

  • Author

    Lentmaier, Michael ; Mitchell, David ; Fettweis, Gerhard ; Costello, Daniel J.

  • Author_Institution
    Dept. of Mobile Commun. Syst., Dresden Univ. of Technol., Dresden, Germany
  • fYear
    2010
  • fDate
    6-10 Sept. 2010
  • Firstpage
    324
  • Lastpage
    328
  • Abstract
    In this paper, we perform an iterative decoding threshold analysis of LDPC block code ensembles formed by terminating (J,K)-regular and irregular AR4JA-based LDPC convolutional codes. These ensembles have minimum distance growing linearly with block length and their thresholds approach the Shannon limit as the termination factor tends to infinity. Results are presented for various ensembles and termination factors, which allow a code designer to trade-off between distance growth rate and threshold.
  • Keywords
    AWGN channels; convolutional codes; parity check codes; AR4JA; AWGN channel thresholds; LDPC convolutional codes; Shannon limit; iterative decoding threshold analysis; Artificial neural networks; Convolutional codes; Parity check codes; Presses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
  • Conference_Location
    Brest
  • Print_ISBN
    978-1-4244-6744-0
  • Electronic_ISBN
    978-1-4244-6745-7
  • Type

    conf

  • DOI
    10.1109/ISTC.2010.5613891
  • Filename
    5613891