• DocumentCode
    3047701
  • Title

    A code-matched interleaver design based on the parity-check weight low-bound of component codes for turbo codes

  • Author

    Dongfeng, Yu ; Wenqiang, Zhang ; Zhiling, Lu ; Yong, Xiao ; Lingzhi, Zhao ; Xia, Zou

  • Author_Institution
    Unit 61920, PLA, Chengdu, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Considering the Interleaver optimization of short frame turbo codes, a code-matched interleaver design based on the parity weight low-bound of component codes is proposed. The form of Locally-bad in turbo codes is investigated. To improve the bit-error property of short frame turbo codes, an algorithm for estimating the low-bound of recursive systematic convolutional code (RSC) parity weight is proposed. This algorithm for estimating the parity-check weight low-bound of component codes is adopted to select the excellent mapping way. Only the mapping ways that can promise the codewords weight of all the Locally-bad in turbo codes will be selected. Compared with the several existing interleaver design, Simulation results show that the proposed code-matched interleaver design is more excellent. The code-matched interleaver design algorithm proposed in this article can improve the bit-error property of short frame turbo codes obviously.
  • Keywords
    convolutional codes; error statistics; interleaved codes; parity check codes; turbo codes; bit-error property; code-matched interleaver design; component codes; interleaver optimization; parity-check weight low-bound; recursive systematic convolutional code; turbo codes; Algorithm design and analysis; Estimation; Finite element methods; Polynomials; Simulation; Turbo codes; S-random interleaver; Turbo codes; code-matched interleaver; codewords weight; short interleaver design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-1-4244-7556-8
  • Electronic_ISBN
    978-1-4244-7554-4
  • Type

    conf

  • DOI
    10.1109/WCSP.2010.5633503
  • Filename
    5633503