• DocumentCode
    770510
  • Title

    Innovations-based MLSE for Rayleigh fading channels

  • Author

    Xiaoyong Yu ; Pasupathy, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    43
  • Issue
    38020
  • fYear
    1995
  • Firstpage
    1534
  • Lastpage
    1544
  • Abstract
    This paper deals with the use of the innovations approach for developing a general and practical MLSE algorithms for signals transmitted over Rayleigh fading channels. The proposed MLSE receiver can be implemented by a bank of FIR time-invariant filters followed by a Viterbi processor and is applicable to any practically modulated signal over either frequency-nonselective or selective, fast or slowly fading channels. Simulation results are presented that demonstrate the superiority of the innovations-based receiver over differential detection in the presence of fast fading. To further improve the error performance, the derived MLSE receiver is combined with diversity reception. The simulation also shows that the diversity technique results in a significant improvement of the error performance. A unified interpretation of MLSE of signals transmitted over both Gaussian noise channels in the presence of ISI and Rayleigh fading channels is obtained by using the innovations approach.<>
  • Keywords
    FIR filters; Gaussian channels; Rayleigh channels; demodulation; diversity reception; estimation theory; fading; filtering theory; intersymbol interference; maximum likelihood estimation; radio receivers; FIR time-invariant filters; Gaussian noise channels; ISI; MLSE algorithms; MLSE receiver; Rayleigh fading channels; Viterbi processor; differential detection; diversity reception; error performance; fast fading channels; frequency nonselective fading channels; frequency selective fading channels; innovations approach; modulated signal; signal transmission; simulation results; slowly fading channels; Channel bank filters; Diversity reception; Fading; Finite impulse response filter; Frequency; Gaussian noise; Maximum likelihood estimation; Signal processing; Technological innovation; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.380203
  • Filename
    380203