Title :
Bayesian estimators by particle filtering
Author :
Ribeiro, Rafael Oliveira ; Mussi, Alex Miyamoto ; Abrão, Taufik
Author_Institution :
Lab. of Commun. & Signal Process., State Univ. of Londrina, Londrina, Brazil
fDate :
Oct. 29 2011-Nov. 1 2011
Abstract :
This paper analyzes the main resampling methods associated to the Bayesian estimation technique namely Particle Filter (PF), trying to confirm by computational simulation the viability and efficiency of PF deployment on the radio mobile channel coefficient estimation. Also, this work establishes which of those resampling methods are more promising in terms of performance versus complexity trade-off.
Keywords :
Bayes methods; mobile radio; particle filtering (numerical methods); wireless channels; Bayesian estimation technique; PF deployment; particle filtering; radio mobile channel coefficient estimation; Bayesian methods; Channel estimation; Complexity theory; Estimation; Monte Carlo methods; Particle filters; Simulated annealing;
Conference_Titel :
Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International
Conference_Location :
Natal
Print_ISBN :
978-1-4577-1662-1
DOI :
10.1109/IMOC.2011.6169393
