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. © 2010 IEEE.
CITATION STYLE
Guimarães, A., Ait-El-Fquih, B., & Desbouvries, F. (2010). A fixed-lag particle smoother for blind SISO equalization of time-varying channels. IEEE Transactions on Wireless Communications, 9(2), 512–516. https://doi.org/10.1109/TWC.2010.02.081694
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