DocumentCode :
180536
Title :
Distributed particle filtering for blind equalization in receiver networks using marginal non-parametric approximations
Author :
Bordin, Claudio J. ; Bruno, Marcelo G. S.
Author_Institution :
UFABC, Santo Andre, Brazil
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
7984
Lastpage :
7987
Abstract :
This paper introduces a novel distributed particle filtering algorithms for the blind equalization of frequency-selective channels in a setup where a single transmitter broadcasts to multiple remote receivers. The algorithm computes particle-independent non-parametric approximations of some posterior probability functions, which are propagated between nodes via minimum-consensus iterations. We verify via numerical simulations that the proposed algorithms exhibit bit error rate (BER) performances markedly superior to that of particle-filtering-based isolated receivers with communication requirements far inferior to that of previous distributed algorithms.
Keywords :
approximation theory; blind equalisers; error statistics; iterative methods; particle filtering (numerical methods); radio receivers; wireless channels; BER; bit error rate performances; blind equalization; communication requirements; distributed particle filtering algorithms; frequency-selective channels; marginal nonparametric approximations; minimum-consensus iterations; numerical simulations; particle-independent nonparametric approximation computation; posterior probability functions; receiver networks; Approximation algorithms; Approximation methods; Bit error rate; Blind equalizers; Complexity theory; Receivers; Signal processing algorithms; Blind Equalization; Distributed Algorithms; Particle Filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6855155
Filename :
6855155
Link To Document :
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