• DocumentCode
    1252507
  • Title

    Approaching Shannon´s capacity limit by 0.2 dB using simple Hamming codes

  • Author

    Nickl, Helmut ; Hagenauer, Joachim ; Burkert, Frank

  • Author_Institution
    Dept. of Commun. Eng., Tech. Univ. Munchen, Germany
  • Volume
    1
  • Issue
    5
  • fYear
    1997
  • Firstpage
    130
  • Lastpage
    132
  • Abstract
    The authors show that the Shannon capacity limit for the additive white Gaussian noise (AWGN) channel can be approached within 0.27 dB at a bit error rate (BER) of 10/sup -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. But the storage requirement might still be quite high depending on the interleavers used.
  • Keywords
    Gaussian channels; Hamming codes; block codes; channel capacity; decoding; error correction codes; error statistics; information theory; interleaved codes; iterative methods; matrix multiplication; rate distortion theory; white noise; AWGN channel; BER; SYNAPSE 1; Shannon capacity limit; additive white Gaussian noise channel; binary block codes; bit error rate; complexity; component codes; decoding algorithm; interleavers; iterative turbo-decoding scheme; logarithmic domain; matrix additions; matrix multiplications; neurocomputer application; simple Hamming codes; soft-in/soft-out decoding; storage requirement; AWGN; Additive white noise; Bit error rate; Block codes; Computer networks; Information theory; Iterative algorithms; Iterative decoding; Iterative methods; Workstations;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.625034
  • Filename
    625034