• DocumentCode
    2061408
  • Title

    Reduced complexity decoding strategies for LDPC convolutional codes

  • Author

    Pusane, Ali E. ; Lentmaier, M. ; Zigangirov, K.Sh. ; Costello, D.J., Jr.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • fYear
    2004
  • fDate
    June 27 2004-July 2 2004
  • Firstpage
    490
  • Abstract
    While low-density parity-check (LDPC) convolutional codes tend to significantly outperform LDPC block codes with the same processor complexity, large storage requirements and a long initial decoding delay are two issues related to their continuous pipeline decoding architecture [A. Jimenez Feltstrom et al., (1999)]. In this paper, we propose reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in performance.
  • Keywords
    convolutional codes; decoding; parity check codes; LDPC convolutional code; low-density parity-check code; pipeline decoding architecture; processor complexity decoding delay strategy; storage requirement; AWGN; Bit error rate; Block codes; Convolutional codes; Degradation; Delay; Equations; Iterative decoding; Parity check codes; Pipelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365528
  • Filename
    1365528