Nonlinear prediction of fast fading channel parameters based on the chaotic attractor

Prediction of the rapidly fading mobile-radio channel enables a number of capacity improving techniques such as the fast resource allocation or fast adaptive modulation. In this paper, we acquire the chaotic attractor by reconstructing the embedding phase space which include more information of system than the scalar time series, and then prediction is carried out in the embedding phase space by the select neighbors of the prediction point with a weighted average of the neighbors. A performance evaluation of the prediction algorithm is analyzed with various SNR on Rayleigh fading channels. The simulation result show that the proposed algorithm is a good candidate for long range prediction of fading channel.