• DocumentCode
    2851341
  • Title

    A low-complexity algorithm for decoding of M-ary LDPC codes

  • Author

    Pang, Baomao ; Shi, Haoshan ; He, Guanghua

  • Author_Institution
    Coll. of Electron. Inf., Northwest Polytech. Univ., Xian, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    M-ary LDPC codes provide higher performances than their binary counterpart but suffer from highest decoding complexity. The use of stochastic decoding algorithm can reduce the decoding complexity, but the computational complexity of probability generation is very high. A simple method to fast generate the probability especially in high-order modulation schemes is proposed in this paper. Simulation results show the proposed algorithm causes negligible performance degradation with reduction in computational complexity, which gives some advantages in hardware implementation of the decoders.
  • Keywords
    computational complexity; decoding; modulation coding; parity check codes; probability; stochastic processes; M-ary LDPC codes; computational complexity; decoding complexity; high-order modulation schemes; low-complexity algorithm; probability generation; stochastic decoding algorithm; Complexity theory; Decoding; Message systems; Parity check codes; LDPC decoding; M-QAM; algorithm Complexity; approximate probability generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258660
  • Filename
    6258660