Joint data-channel estimation using the particle filtering on multipath fading channels

Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solution for the joint data-channel estimation in fast fading channels, we propose a new reduced-complexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique. We show that the particle detector offers a better trade-off between performance and computational complexity, compared to a reduced-complexity PSP detector based on the decision-feedback sequence estimation (DFSE) algorithm. Moreover, the computational complexity of this new detector is adapted according to the signal-to-noise ratio.