• DocumentCode
    1332558
  • Title

    Long-range prediction of fading signals

  • Author

    Duel-Hallen, Alexandra ; Hu, Shenguan ; Hallen, Hans

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    17
  • Issue
    3
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    62
  • Lastpage
    75
  • Abstract
    It was previously proposed to adapt several transmission methods, including modulation, power control, channel coding, and antenna diversity to rapidly time variant fading channel conditions. Prediction of the channel coefficients several tens-to-hundreds of symbols ahead is essential to realize these methods in practice. We describe a novel adaptive long-range fading channel prediction algorithm (LRP) and its utilization with adaptive transmission methods. The LRP is validated for standard stationary fading models and tested with measured data and with data produced by our novel realistic physical channel model. Both numerical and simulation results show that long-range prediction makes adaptive transmission techniques feasible for mobile radio channels
  • Keywords
    adaptive systems; fading channels; land mobile radio; multipath channels; adaptive long-range fading prediction algorithm; adaptive transmission methods; antenna diversity; channel coding; channel coefficients prediction; fading signals; measured data; mobile radio channels; modulation; multipath fading; numerical results; physical channel model; power control; simulation results; standard stationary fading models; time variant fading channel; Adaptive arrays; Channel coding; Fading; Measurement standards; Modulation coding; Numerical simulation; Power control; Prediction algorithms; Testing; Transmitting antennas;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/79.841729
  • Filename
    841729