Abstract: A new algorithm for fast fading channel prediction is presented. This algorithms is based on the chaotic behavior of the mobile multipath fading channel. The phase space of these mobile multipath fading channel coefficients is reconstructed by the theory of time delays. Based on the stability and the fractal of the chaotic attractor, the coefficients are predicted in their phase space. Simulation results show that the proposed algorithm is a better candidate for long range prediction of the fading channel in the noise context. The experiment is carried out by utilizing fading channel data which span 63. 829 milliseconds. Simulation results show that the better prediction performance is acquired than the AR algorithm when the signal to noise ratio is 12dB.

Key words: fading channel, prediction algorithm, phase space, chaotic attractor