DocumentCode :
464031
Title :
A Rao-Blackwellized Particle Filter for Blind Equalization of Frequency-Selective Channels with Unknown Order and Noise Variance
Author :
Bordin, Claudio J. ; Bruno, Marcelo G. S.
Author_Institution :
Inst. Tecnologico de Aeronaut., Sao Jose Dos Campos, Brazil
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
We propose in this paper a new particle filtering algorithm for blind equalization of FIR frequency-selective communication channels corrupted by additive Gaussian noise, assuming that both the channel order and noise variance are unknown. The proposed algorithm integrates out analytically the unknown parameters using a modified sequential importance sampling technique. We verify via numerical simulations that the proposed method leads to near optimal performance, greatly outperforming traditional methods under noise variance mismatch.
Keywords :
FIR filters; blind equalisers; importance sampling; particle filtering (numerical methods); telecommunication channels; FIR frequency-selective communication channels; Rao-Blackwellized particle filter; additive Gaussian noise; blind equalization; channel order; modified sequential importance sampling technique; noise variance; Additive noise; Algorithm design and analysis; Blind equalizers; Communication channels; Filtering algorithms; Finite impulse response filter; Frequency; Gaussian noise; Monte Carlo methods; Particle filters; Adaptive equalizers; Bayes procedures; Monte Carlo methods; Sequential estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.367076
Filename :
4217949
Link To Document :
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