• DocumentCode
    2009930
  • Title

    Performance analysis of implement-oriented capacity-achieving LDPC codes on erasure channel and its encoder design

  • Author

    Peng, Li ; Zhu, Guangxi ; Luo, Qi

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper is concerned with threshold performance analysis of implement-oriented low-density parity check (LDPC) ensemble on binary erasure channel and design of its H-matrix structure and encoder hardware architecture. We construct a class of the special LDPC ensemble which has capacity-achieving degree distribution pair for infinity length code over the binary erasure channel (BEC). Its special characteristic different from the other LDPC ensembles is that the coefficient lambda1 of its degree distribution pair equal 1 instead of 0. Its H-matrix is constructed by combining zigzag matrix and partitioned permutation matrices. This paper completed a design from capacity-achieving sequence to algebraic structural H-matrix, and the H-matrix can directly be used to design low complexity recursive encoding circuit.
  • Keywords
    channel coding; matrix algebra; parity check codes; random codes; BEC; algebraic structural H-matrix; binary erasure channel; capacity-achieving degree distribution pair; encoder hardware architecture design; implement-oriented LDPC code; infinity length code; low complexity recursive encoding circuit design; low-density parity check code; permutation matrix partition; random code; zigzag matrix; Algorithm design and analysis; Circuits; Design engineering; Error probability; H infinity control; Hardware; Linear code; Paper technology; Parity check codes; Performance analysis; Binary erasure probability; Density evolution; Low-density parity-check (LDPC) codes; Thresholds; encoding circuit; recursive encoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Mobile Congress 2009
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5302-3
  • Electronic_ISBN
    978-1-4244-5301-6
  • Type

    conf

  • DOI
    10.1109/GMC.2009.5295824
  • Filename
    5295824