• DocumentCode
    2987200
  • Title

    LDPC decoding and code design on extrinsic trees

  • Author

    Psota, Eric ; Perez, Lance C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    2161
  • Lastpage
    2165
  • Abstract
    Extrinsic tree decoding of low-density parity-check codes operates on modified, finite computation trees created from the Tanner graph of the code. The goal of the extrinsic tree algorithm is to maintain or improve the performance of existing iterative decoders, while providing a decoding algorithm for which upper bounds can be computed. The extrinsic tree algorithm is examined, along with the design of parity-check matrices on which the extrinsic tree decoder performs well.
  • Keywords
    decoding; parity check codes; tree codes; LDPC decoding; Tanner graph; code design; extrinsic tree decoding; finite computation trees; low-density parity-check codes; parity-check matrices; Additive white noise; Algorithm design and analysis; Costs; Iterative algorithms; Iterative decoding; Parity check codes; Performance analysis; Reactive power; Tree graphs; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205794
  • Filename
    5205794