• DocumentCode
    3314761
  • Title

    Low complexity decoding for convolutional codes

  • Author

    Vinck, Han

  • Author_Institution
    Essen Univ., Germany
  • fYear
    1992
  • fDate
    17-19 Sep 1992
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    Several attempts to reduce the decoding complexity for convolutional codes are described. Although most of the attempts were unsuccessful, the author gained interesting insight which helped in understanding the theory of convolutional codes and led to further studies. It is concluded that the performance of the standard v=6 Viterbi decoder is hard to beat. The author gives a concatenated coding scheme using the same v=6 code and a distance 2 code to obtain an almost ML decoding algorithm with the performance of a dfree=20 code
  • Keywords
    computational complexity; convolutional codes; decoding; Viterbi decoder; almost ML decoding algorithm; concatenated coding scheme; convolutional codes; decoding complexity; distance 2 code; low-complexity decoding; Bit error rate; Circuit noise; Concatenated codes; Convolutional codes; Decoding; Demodulation; Polynomials; State estimation; State-space methods; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering, 1992., IEEE International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-0734-8
  • Type

    conf

  • DOI
    10.1109/ICSYSE.1992.236930
  • Filename
    236930