DocumentCode :
2803825
Title :
A particle filtering algorithm for cooperative blind equalization using VB parametric approximations
Author :
Bordin, Claudio J., Jr. ; Bruno, Marcelo G S
Author_Institution :
UFABC, Santo Andre, Brazil
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
3834
Lastpage :
3837
Abstract :
We introduce in this paper a new distributed sequential Monte Carlo (SMC) algorithm for blind equalization of frequency-selective broadcast channels. In the considered setup, multiple receiving nodes sense independently distorted versions of the same broadcast signal and cooperate to recover it. The proposed approach innovates by using parametric approximations based on the Variational Bayes (VB) method that allow the inter-node communication burden to be greatly reduced compared to previous communication-intensive distributed SMC algorithms. We verify via numerical simulations that the proposed method yields better performance than alternative methods that employ ad hoc parametric approximations, while preserving roughly the same computational cost.
Keywords :
Bayes methods; Monte Carlo methods; approximation theory; blind equalisers; broadcast channels; particle filtering (numerical methods); VB parametric approximations; ad hoc parametric approximations; broadcast signal; communication-intensive distributed SMC algorithms; cooperative blind equalization; distributed sequential Monte Carlo algorithm; frequency-selective broadcast channels; independently distorted versions; inter-node communication; multiple receiving nodes; numerical simulations; particle filtering algorithm; variational Bayes method; Blind equalizers; Broadcasting; Distortion; Distributed algorithms; Filtering algorithms; Frequency; Monte Carlo methods; Numerical simulation; Particle filters; Sliding mode control; Blind Equalization; Distributed Algorithms; Particle Filters; Variational Bayes Methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495827
Filename :
5495827
Link To Document :
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