• DocumentCode
    2920744
  • Title

    Two-stage iterative decoding algorithms for a class of cyclic codes

  • Author

    Zhang, Li ; Huang, Qin ; Shu Lin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
  • fYear
    2010
  • fDate
    6-8 Jan. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a class of iteratively decodable cyclic codes. Codes in this class have large minimum distance; however, their Tanner graphs contain many short cycles of length 4. With the conventional iterative decoding based on belief propagation, these short cycles significantly degrade the error performance of the codes. To avoid the degrading effect of these short cycles in performance, two-stage iterative decoding algorithms are devised. Cyclic codes have encoding advantage over other linear block codes. Encoding of a cyclic code in systematic form can be implemented with a single feedback shift-register.
  • Keywords
    cyclic codes; iterative decoding; Tanner graphs; codes. error performance; cyclic codes; linear block codes; two-stage iterative decoding algorithms; Belief propagation; Block codes; Degradation; Encoding; Feedback; Geometry; Iterative algorithms; Iterative decoding; Shift registers; Sum product algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ITW 2010, Cairo), 2010 IEEE Information Theory Workshop on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-6372-5
  • Type

    conf

  • DOI
    10.1109/ITWKSPS.2010.5503173
  • Filename
    5503173