• DocumentCode
    3319554
  • Title

    Efficient realization of probabilistic gradient descent bit flipping decoders

  • Author

    Khoa Le ; Declercq, David ; Ghaffari, Fakhreddine ; Spagnol, Christian ; Popovici, Emmanuel ; Ivanis, Predrag ; Vasic, Bane

  • Author_Institution
    ETIS, Univ. Cergy-Pontoise, Cergy-Pontoise, France
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    1494
  • Lastpage
    1497
  • Abstract
    In this paper, several implementations of the recently introduced PGDBF decoder for LDPC codes are proposed. In [2], the authors show that using randomness in bit-flipping decoders can greatly improve the error correction performance. In this paper, two models of random generators are proposed and compared through hardware implementation and performance simulation. A conventional implementation of the random generator through LFSR as a first design, and a new approach using binary sequences that are produced by the LDPC decoder, named IVRG, as second design. We show that both implementation of the PGDBF improve greatly the error correction performance, while maintaining the same large throughtput. However, the performance gain requires a large hardware overhead in the case of LFSR-PGDBF, while the overhead is limited to only 10% in the case of the IVRG-PGDBF.
  • Keywords
    binary sequences; circuit feedback; decoding; error correction; gradient methods; parity check codes; probability; shift registers; IVRG-PGDBF; LDPC decoder; LFSR-PGDBF; PGDBF decoder; binary sequences; error correction; intrinsic value random generators; linear feedback shift register; low density parity check codes; probabilistic gradient descent bit flipping decoders; Decoding; Error correction; Generators; Hardware; Parity check codes; Probabilistic logic; Registers; LDPC decoders; PGDBF; bit-flipping; random generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7168928
  • Filename
    7168928