• DocumentCode
    836152
  • Title

    Modified branch metric for turbo codes using PSA technique in Rician fading channels

  • Author

    Li, K.L. ; Cheung, S.W.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
  • Volume
    149
  • Issue
    4
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    227
  • Lastpage
    231
  • Abstract
    The authors study a log-maximum a posteriori (MAP) algorithm for use with turbo-coded systems incorporated with pilot-symbol-aided (PSA) transmission in the satellite mobile channels. The channel probability used in a conventional log-MAP algorithm assumes the channel is memoryless white Gaussian noise. If this same channel probability is used in the log-MAP algorithm for decoding turbo-coded signals with fading compensation in the satellite mobile channels, which are Rician-faded, performance degradation occurs. A new channel probability for use in the log-MAP algorithm to decode turbo-coded signals incorporated with PSA transmission on Rician fading channels is derived. Monte Carlo simulation results have shown that the proposed log-MAP algorithm can give substantial improvements in the bit-error-rate performances of a turbo-coded quarternary-phase-shift-keyed (QPSK) signal over the conventional log-MAP and other log-MAP algorithms
  • Keywords
    Monte Carlo methods; Rician channels; channel coding; error statistics; maximum likelihood decoding; mobile satellite communication; quadrature phase shift keying; turbo codes; Monte Carlo simulation; PSA technique; QPSK; Rician fading channels; bit-error-rate performance; channel probability; decoding; log-MAP algorithm; log-maximum a posteriori algorithm; memoryless white Gaussian noise channel; modified branch metric; pilot-symbol-aided transmission; quarternary-phase-shift-keyed signal; satellite mobile channels; turbo codes;
  • fLanguage
    English
  • Journal_Title
    Communications, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2425
  • Type

    jour

  • DOI
    10.1049/ip-com:20020310
  • Filename
    1039536