• DocumentCode
    3280630
  • Title

    Improvement of the forced-convergence decoding for LDPC codes

  • Author

    Aoyama, Rumi ; Kaji, Yuichi

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An improvement of the forced-convergence decoding algorithm is discussed. Iterative decoding schemes such as the sum-product (SP) decoding bring out excellent performance of low-density parity check (LDPC) codes. The forced-convergence (FC) decoding is also an iterative decoding algorithm obtained by modifying the SP decoding. The FC decoding succeeds to reduce the decoding complexity of the SP decoding, but the error correcting performance is severely degraded by the modification. The performance degradation of the FC decoding is expected to be mitigated if the convergence criterion used in the algorithm is appropriately modified. This paper discusses several types of modifications of the convergence criteria. Computer simulation shows that the proposed modifications improve the performance of the FC decoding algorithm.
  • Keywords
    convergence; error correction codes; iterative decoding; parity check codes; product codes; LDPC codes; error correcting performance; forced-convergence decoding algorithm; iterative decoding scheme; low-density parity check codes; sum-product decoding; Computer errors; Computer simulation; Convergence; Degradation; Error correction; Information science; Information theory; Iterative algorithms; Iterative decoding; Parity check codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-2068-1
  • Electronic_ISBN
    978-1-4244-2069-8
  • Type

    conf

  • DOI
    10.1109/ISITA.2008.4895536
  • Filename
    4895536