Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking

François Septier (1) , Yves Delignon (2, 3) , Atika Rivenq (1) , Christelle Garnier (3)

1 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
2 LAGIS-SI
3 Institut TELECOM/TELECOM Lille1

In digital communication, phase distortions introduced by local oscillators is one of the major concerns in designing low-cost high frequency wireless communication systems. Hence, for phase tracking and symbol detection, we propose an original algorithm which performs both phase tracking and symbol detection by a particle filtering based on the hybrid importance function. Per- formances of this algorithm are analyzed and compared to phase- locked loop performances in terms of bit error rate and mean square error. Asymptotic posterior Cramér-Rao bound is also derived to show performances of the optimum receiver.

Domains: Signal and Image processing; Signal and Image Processing

François Septier, Yves Delignon, Atika Rivenq, Christelle Garnier. Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking. IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, Jul 2006, Cannes, France. pp.1-5, ⟨10.1109/SPAWC.2006.346358⟩. ⟨hal-00685815⟩