• DocumentCode
    286887
  • Title

    Adaptive artificial neural network algorithms for MCD applications

  • Author

    Coloma, J. ; Corden, I.R. ; Carrasco, R.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Staffordshire Polytech., Beaconside, UK
  • fYear
    1991
  • fDate
    33564
  • Firstpage
    42614
  • Lastpage
    42621
  • Abstract
    The MCD (multi-carrier demodulator) has gained interest recently for use in both the aviation and satellite onboard processing contexts, where multiplex format conversions are required. Some experiments indicate that the Rician fading channel is well suited to describe the mobile-satellite channel behaviour. A model for implementing a Rician fading channel is presented. The need for an equaliser in the receiver is addressed and the algorithms: decision feedback equaliser (DFE), perceptron-based decision feedback equaliser (PBDFE), and sigma-pi perceptron feedback equaliser (SPPFE), are described. Results to compare the performance of the three algorithms are also included
  • Keywords
    adaptive systems; demodulation; equalisers; fading; neural nets; telecommunication channels; Rician fading channel; adaptive neural network algorithms; decision feedback equaliser; mobile-satellite channel; multi-carrier demodulator; perceptron-based decision feedback equaliser; sigma-pi perceptron feedback equaliser;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Adaptive Filtering, Non-Linear Dynamics and Neural Networks, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    263736