• DocumentCode
    3067718
  • Title

    Two-dimensional generalized Reed-Solomon codes: A unified framework for quasi-cyclic LDPC codes constructed based on finite fields

  • Author

    Chen, Chao ; Bai, Baoming ; Wang, Xinmei

  • Author_Institution
    State Key Lab. of ISN, Xidian Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    839
  • Lastpage
    843
  • Abstract
    In this paper, we first propose a general framework for constructing quasi-cyclic low-density parity-check (QC-LDPC) codes based on a two-dimensional (2-D) maximum distance separable (MDS) code. Two classes of QC-LDPC codes are defined, whose parity-check matrices are transposes of each other. We then use a 2-D generalized Reed-Solomon (GRS) code to give a concrete construction. The decoding parity-check matrices have a large number of redundant parity-check equations while their Tanner graphs have a girth of at least 6. The minimum distances of the codes are very respectable as far as LDPC codes are concerned. We further show that many existing constructions of QC-LDPC codes based on finite fields in the literature can be unified under this construction. Experimental studies show that the constructed QC-LDPC codes perform well with the sum-product algorithm (SPA).
  • Keywords
    Reed-Solomon codes; decoding; parity check codes; decoding; finite fields; generalized Reed-Solomon code; low-density parity-check; maximum distance separable code; parity-check matrices; quasi-cyclic LDPC codes; sum-product algorithm; Chaos; Concrete; Equations; Galois fields; Geometry; Iterative decoding; Parity check codes; Quantum cascade lasers; Reed-Solomon codes; Two dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513621
  • Filename
    5513621