Title :
Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel
Author :
Sénécal, Stéphane ; Amblard, Pierre-Olivier ; Cavazzana, Laurent
Author_Institution :
Lab. des Images et des Signaux, Saint Martin d´´Heres, France
Abstract :
The paper proposes a sequential Monte Carlo simulation method for equalizing a satellite communication channel. The main difficulties encountered are the nonlinear distortions due to the amplifier stage in the satellite. The aim of the method is to restore blindly the emitted message by considering a Bayesian approach. Thus, prior knowledge on the modeling of the nonlinearity is taken into account in the posterior distribution of the input sequence. Such a distribution is very difficult to study and thus motivates the implementation of Monte Carlo techniques. This approach makes it possible to solve the problem for a simplified model. The simulation scheme dealing with the complete transmission chain uses the method developed for the simplified model. Performance of the equalization algorithm is evaluated using bit error rate versus signal-to-noise ratio curves.
Keywords :
Bayes methods; Monte Carlo methods; blind equalisers; error statistics; identification; nonlinear distortion; satellite communication; signal restoration; telecommunication channels; BER; Bayesian approach; SNR; amplifier nonlinear distortion; bit error rate; blind equalization; channel identification; nonlinear satellite communication channel; posterior distribution; sequential Monte Carlo method; signal-to-noise ratio; Artificial satellites; Bayesian methods; Bit error rate; Blind equalizers; Filters; Image restoration; Monte Carlo methods; Satellite communication; Signal generators; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1201777
