Joint blind equalization and decoding using particle filters

• Published in: Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004 pp. 1 - 4
• Main Authors: Bordin, C.J., Baccala, L.A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2004
• Subjects: Bayesian methods; Blind equalizers; Computational modeling; Decoding; Density measurement; Digital communication; Error correction; Filtering; Particle filters; Shape measurement
• ISBN: 0780386892; 9780780386891
• DOI: 10.1109/ISSPIT.2004.1433674

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.