• DocumentCode
    1940100
  • Title

    A low-complexity decoding algorithm for RA code with Chebyshev Polynomial Fitting

  • Author

    Li, Lei ; Wang, Qin ; Xu, Li

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    421
  • Lastpage
    425
  • Abstract
    RA (Repeat Accumulate) code has been widely used in wireless communication systems. But the BP (Belief Propagation) decoding algorithm which is commonly used in RA Code has high complexity. In order to reduce the complexity of BP algorithm while maintaining coding performance, we proposed Chebyshev-Polynomial-Fitting based BP (CPF-BP) decoding algorithm. In CPF-BP decoding algorithm, we used polynomial which is generated by chebyshev fitting algorithm instead of hyperbolic tangent operation in BP decoding algorithm to reduce the implementation complexity. Experiment and simulation results show that this low-complexity algorithm removes hyperbolic tangent operation in conventional BP algorithm with same amount of multiplier under the parameters setting in the paper. The performance degradation of CPF-BP algorithm is negligible which is less than 0.6dB at BER of 10-4 compared with conventional BP algorithm.
  • Keywords
    Chebyshev approximation; codes; curve fitting; decoding; polynomial approximation; radiocommunication; Chebyshev polynomial fitting; RA code; belief propagation decoding algorithm; hyperbolic tangent operation; repeat accumulate code; wireless communication system; AWGN; Approximation algorithms; Bit error rate; Chebyshev approximation; Decoding; Polynomials; BP algorithm; Chebyshev; Polynomial Fitting; Repeat Accumulate Code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564075
  • Filename
    5564075