• DocumentCode
    1080773
  • Title

    Channel coding: The road to channel capacity

  • Author

    Costello, Daniel J. ; Forney, G. David

  • Author_Institution
    Notre Dame Univ., Notre Dame
  • Volume
    95
  • Issue
    6
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1150
  • Lastpage
    1177
  • Abstract
    Starting from Shannon´s celebrated 1948 channel coding theorem, we trace the evolution of channel coding from Hamming codes to capacity-approaching codes. We focus on the contributions that have led to the most significant improvements in performance versus complexity for practical applications, particularly on the additive white Gaussian noise channel. We discuss algebraic block codes, and why they did not prove to be the way to get to the Shannon limit. We trace the antecedents of today´s capacity-approaching codes: convolutional codes, concatenated codes, and other probabilistic coding schemes. Finally, we sketch some of the practical applications of these codes.
  • Keywords
    AWGN channels; algebraic codes; block codes; channel capacity; channel coding; Shannon limit; additive white Gaussian noise channel; algebraic block codes; channel capacity; channel coding; AWGN channels; Additive white noise; Block codes; Channel capacity; Channel coding; Concatenated codes; Convolutional codes; Parity check codes; Signal to noise ratio; Turbo codes; Algebraic block codes; channel coding; codes on graphs; concatenated codes; convolutional codes; low-density parity-check codes; turbo codes;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2007.895188
  • Filename
    4282117