Blind equalization of frequency-selective channels by sequential importance sampling
IEEE Transactions on Signal Processing - Part I
Soft input channel estimation for turbo equalization
IEEE Transactions on Signal Processing - Part I
On-line Bayesian estimation of signals in symmetric α-stable noise
IEEE Transactions on Signal Processing
Particle filters for state estimation of jump Markov linear systems
IEEE Transactions on Signal Processing
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering
IEEE Transactions on Information Theory
Blind detection in MIMO systems via sequential Monte Carlo
IEEE Journal on Selected Areas in Communications
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We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symbols under doubly-selective channels. We perform an exact evaluation of the optimal importance distribution, at a reduced computational cost when compared to other optimal solutions proposed for the same state-space model. The method is applied as a soft input-soft output (SISO) blind equalizer in a turbo receiver framework and simulation results are obtained to show its outstanding BER performance.