Volume 31 Issue 05
May  2005
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Sun Jiancheng, Zhang Taiyi, Liu Fenget al. Novel nonlinear prediction algorithm for fast fading channel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 499-503. (in Chinese)
Citation: Sun Jiancheng, Zhang Taiyi, Liu Fenget al. Novel nonlinear prediction algorithm for fast fading channel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 499-503. (in Chinese)

Novel nonlinear prediction algorithm for fast fading channel

  • Received Date: 17 Nov 2003
  • Publish Date: 31 May 2005
  • Prediction of the rapidly fading mobile radio channel enables a number of capacity improving techniques such as the fast adaptive resource allocation or fast adaptive modulation. To predict the fast fading channel parameters, the embedding phase space was reconstructed by utilizing times delay techniques since the high dimension space possessed more information of system than the scalar time series, and a new nonlinear regression method: recurrent least squares support vector machines (RLS-SVM) was used to resolve the prediction problem in a high space. The fading envelope was well modeled as a Gauss bandlimited process which possessed special predictability properties and the predictability was also analyzed from point of view of nonlinear dynamics. Performance evaluation of the prediction algorithm was carried out with varied signal to noise rate on Rayleigh fading channels. The simulation result shows that the proposed algorithm is a good candidate for long range prediction of fading channel.

     

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