• DocumentCode
    3067781
  • Title

    Improved adaptive belief propagation decoding using edge-local complementation

  • Author

    Knudsen, Joakim Grahl ; Riera, Constanza ; Danielsen, Lars Eirik ; Parker, Matthew G. ; Rosnes, Eirik

  • Author_Institution
    Dept. of Inf., Univ. of Bergen, Bergen, Norway
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    774
  • Lastpage
    778
  • Abstract
    This work is an extension of our previous work on an iterative soft-decision decoder for high-density parity-check codes, using a graph-local operation known as edge-local complementation (ELC). Inferred least reliable codeword positions are targeted by an ELC stage in between sum-product algorithm iterations. A gain is shown over related iterative decoding algorithms - mainly due to an improved heuristic to determine optimum ELC locations in the Tanner graph - both in error-rate performance, as well as complexity in terms of a significant reduction in the required number of ELC operations. We also present a novel damping operation, generalized to the graph-local setting where extrinsic information remains on edges not affected by ELC.
  • Keywords
    graph theory; iterative decoding; parity check codes; Tanner graph; adaptive belief propagation decoding; damping operation; edge-local complementation; graph-local operation; graph-local setting; high-density parity-check codes; iterative decoding; iterative soft-decision decoder; Belief propagation; Damping; Educational institutions; Informatics; Iterative algorithms; Iterative decoding; Parity check codes; Performance gain; Reed-Solomon codes; Sum product algorithm;
  • 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.2010.5513625
  • Filename
    5513625