• DocumentCode
    3008445
  • Title

    Approaching Shannon´s capacity limit by 0.27 dB using Hamming codes in a `turbo´-decoding scheme

  • Author

    Nickl, Helmut ; Hagenauer, Joachim ; Burkert, Frank

  • Author_Institution
    Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    12
  • Abstract
    The Shannon capacity limit can be reached by less than 0.27 dB at a BER of 10-5 by applying long but simple Hamming codes as component codes to an iterative `turbo´-decoding scheme. In general, the complexity of soft-in/soft-out decoding of binary block codes is rather high. However, the application of a neurocomputer in combination with a parallelization of the decoding rule facilitates an implementation of the decoding algorithm in the logarithmic domain which requires only matrix additions and multiplications
  • Keywords
    Hamming codes; block codes; concatenated codes; convolutional codes; iterative methods; maximum likelihood decoding; neural nets; parallel algorithms; telecommunication computing; BER; Hamming codes; SYNAPSE 1; Shannon´s capacity limit; binary block codes; component codes; decoding algorithm; iterative turbo-decoding scheme; logarithmic domain; matrix additions; multiplications; neurocomputer; parallelization; soft-in/soft-out decoding; Acceleration; Artificial neural networks; Binary codes; Bit error rate; Block codes; Computer architecture; Fixed-point arithmetic; Iterative algorithms; Iterative decoding; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.612927
  • Filename
    612927