• DocumentCode
    997868
  • Title

    Analytic expressions for the bit error probabilities of rate-1/2 memory 2 convolutional encoders

  • Author

    Lentmaier, Michael ; Truhachev, Dmitri V. ; Zigangirov, Kamil Sh

  • Author_Institution
    Dept. of Inf. Technol., Lund Univ., Sweden
  • Volume
    50
  • Issue
    6
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    1303
  • Lastpage
    1311
  • Abstract
    Analytic expressions for the exact bit error probabilities of rate R=1/2, memory m=2 convolutional encoders are derived for a maximum-likelihood (ML) decoder and transmission over the binary-symmetric channel (BSC). The resulting expressions are rational functions of the crossover probability of the BSC. In addition to classical nonsystematic encoders without feedback, we consider also recursive systematic encoders, which became especially important as component encoders in concatenated coding schemes. To attest the validity of the results, they are compared to computer simulations. Based on the presented technique also the bit error probability and the probability distribution of the output log-likelihood ratios of the Max-Log-MAP algorithm are derived in analytic form.
  • Keywords
    concatenated codes; convolutional codes; error statistics; maximum likelihood decoding; probability; rational functions; binary-symmetric channel; bit error probability; concatenated coding scheme; convolutional encoder; crossover probability; max-log-MAP algorithm; maximum a posteriori algorithm; maximum-likelihood decoding; output log-likelihood ratio; probability distribution; rational function; recursive systematic encoder; Computer simulation; Concatenated codes; Convolutional codes; Error probability; Feedback; Information technology; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Viterbi algorithm; BSC; Binary-symmetric channel; ML; bit error probability; convolutional codes; decoding; maximum-likelihood;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.828105
  • Filename
    1302310