Joint blind equalization and decoding using particle filters
Claudio J. Bordin, Luiz Antonio Baccalá · 2005
This work examines how particle filtering algorithms-numerical techniques for solving Bayesian estimation problems-can be used for joint blind equalization and decoding of block-coded signals transmitted over frequency selective channels. Via simulations, we verify that the performance of the proposed method is much better than that of an equalization-only algorithm, outperforming the optimal linear equalizer at moderate noise levels at almost no additional computational cost.