Title :
Particle filtering for demodulation in fading channels with non-Gaussian additive noise
Author :
Punskaya, E. ; Andrieu, C. ; Doucet, A. ; Fitzgerald, W.J.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
fDate :
4/1/2001 12:00:00 AM
Abstract :
An efficient particle filtering algorithm is developed to solve the problem of demodulation of M-ary modulated signals under conditions of fading channels in the presence of non-Gaussian additive noise. Simulations for MDPSK signals are presented. The results show that the algorithm outperforms the current methods
Keywords :
Rayleigh channels; demodulation; differential phase shift keying; filtering theory; noise; M-ary modulated signals; MDPSK signals; Rayleigh fading channel; demodulation; efficient particle filtering algorithm; nonGaussian additive noise; simulations; Additive noise; Cutoff frequency; Demodulation; Fading; Filtering algorithms; Laboratories; Particle filters; Rayleigh channels; Signal processing; Signal processing algorithms;
Journal_Title :
Communications, IEEE Transactions on
