• DocumentCode
    2649127
  • Title

    Two efficient and low-complexity iterative reliability-based majority-logic decoding algorithms for LDPC codes

  • Author

    Huang, Qin ; Kang, Jingyu ; Zhang, Li ; Lin, Shu ; Ghaffar, Khaled Abdel

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    253
  • Lastpage
    257
  • Abstract
    This paper presents two novel iterative reliability-based majority-logic algorithms for decoding LDPC codes. Both algorithms are binary message-passing algorithms and require only logical operations and integer additions. Consequently, they can be implemented with simple combinational logic circuits. They either outperform or perform just well as the existing weighted bit-flipping or other reliability-based decoding algorithms for LDPC codes in error performance with a faster rate of decoding convergence and less decoding complexity. Compared to the sum-product algorithm for LDPC codes, they offer effective trade-offs between performance and decoding complexity.
  • Keywords
    combinational circuits; communication complexity; iterative decoding; parity check codes; reliability; LDPC codes; binary message-passing algorithms; combinational logic circuits; decoding complexity; decoding convergence rate; low density parity check codes; low-complexity iterative reliability; majority-logic decoding algorithms; sum-product algorithm; Combinational circuits; Conferences; Convergence; Information theory; Iterative algorithms; Iterative decoding; Null space; Parity check codes; Reliability theory; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351264
  • Filename
    5351264