• DocumentCode
    1747995
  • Title

    Turbo decoding of Reed-Solomon codes through binary decomposition and self concatenation

  • Author

    Liu, Cathy Ye ; Lin, Shu

  • Author_Institution
    LSI Logic Corp., San Jose, CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    24
  • Abstract
    It has long been a challenge to coding theorists to devise an effective and practical soft-decision decoding algorithm for Reed-Solomon (RS) codes. Many attempts have been made and several MLD algorithms have been devised. Unfortunately, these algorithms can only be applied to very short codes, or codes with very small number of parity symbols. Several algebraic soft-decision algorithms based on reliability measures of received symbols have also been proposed. However, these algorithms either provide very small improvement over the pure algebraic decoding algorithms over the practical range of SNR or their decoding complexity grows exponentially with minimum distance of the code. This paper presents a two-stage scheme for turbo decoding RS codes through binary decomposition and self concatenation. This decoding scheme achieves an impressive error performance with a significant reduction in decoding complexity compared to previously proposed MLD algorithms, and can be applied to decode reasonably long RS codes
  • Keywords
    Galois fields; Reed-Solomon codes; computational complexity; concatenated codes; iterative decoding; turbo codes; RS codes; Reed-Solomon codes; binary decomposition; decoding complexity reduction; error performance; long codes; self concatenation; soft-decision decoding; turbo decoding; two-stage scheme; Binary codes; Bit error rate; Concatenated codes; Encoding; Error correction; Iterative decoding; Large scale integration; Logic; Reed-Solomon codes; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.935887
  • Filename
    935887