• DocumentCode
    5036
  • Title

    Generalized Binary Representation for the Nonbinary LDPC Code With Decoder Design

  • Author

    Yang Yu ; Wen Chen ; Jun Li ; Xiao Ma ; Baoming Bai

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    62
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    3070
  • Lastpage
    3083
  • Abstract
    In this paper, we consider the performance-optimized nonbinary low-density parity check code over general linear group, i.e., C̅. A new methodology for constructing the binary representation [generalized binary representation (GBR)] of C̅ is proposed, which can be optimized with regard to both degree distributions and girth. As to the decoding of the GBR, we develop a low-complexity hybrid parallel decoding process. It is shown that the decoding performance of the GBR under the proposed binary decoding process could closely approach the decoding performance of its mother code C̅ under nonbinary belief propagation decoding. A simple code optimization algorithm for the GBR is also provided. Simulations show the comparative results and justify the advantages of the proposed constructions.
  • Keywords
    decoding; optimisation; parity check codes; GBR; binary decoding process; generalized binary representation; low-complexity hybrid parallel decoding process; nonbinary LDPC code; nonbinary belief propagation decoding; performance-optimized nonbinary low-density parity check code; simple code optimization algorithm; Computational complexity; Decoding; Educational institutions; Optimization; Parity check codes; Vectors; Non-binary LDPC code; binary Gaussian channel; binary image; binary symmetric channel;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2014.2344912
  • Filename
    6868298