• DocumentCode
    2405472
  • Title

    Architecture of a low-complexity non-binary LDPC decoder

  • Author

    Voicila, Adrian ; Declercq, David ; Verdier, François ; Fossorierl, M. ; Urard, Pascal

  • Author_Institution
    ETIS, ETIS ENSEA/UCP/CNRS UMR-8051, Cergy-Pontoise
  • fYear
    2008
  • fDate
    9-13 Jan. 2008
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, we propose a hardware implementation of the EMS decoding algorithm for non-binary LDPC (NB- LDPC) codes, presented in [4]. To the knowledge of the authors this is the first implementation of an GF(q) LDPC decoder for high order fields (q ges 64). The originality of the proposed architecture is that it takes into account the memory problem of the NB-LDPC decoders, together with a significant complexity reduction per decoding iteration which becomes independent from the field´s order. The error decoding performance of the low complexity algorithm with proper compensation has been obtained through computer simulations. The frame error rate results are quite good with respect to the important complexity reduction. The results prove also that an implementation of a NB-LDPC decoder is now feasible and the extra complexity of the decoder is balanced by the superior performance of this class of codes. With their foreseen simple architectures and good-error correcting performances, NB-LDPC codes provides a promising vehicle for real-life efficient coding system implementations.
  • Keywords
    error correction; error statistics; parity check codes; EMS decoding algorithm; complexity reduction per decoding iteration; frame error rate; low-complexity nonbinary LDPC decoder; AWGN; Computer architecture; Computer errors; Computer simulation; Error analysis; Hardware; Iterative algorithms; Iterative decoding; Medical services; Parity check codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers. International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-1458-1
  • Electronic_ISBN
    978-1-4244-1459-8
  • Type

    conf

  • DOI
    10.1109/ICCE.2008.4587946
  • Filename
    4587946