DocumentCode :
3249685
Title :
Application of particle filters for tracking moving receivers in wireless communication systems
Author :
Ng, William ; Reilly, James P. ; Kirubarajan, Thia
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
fYear :
2003
fDate :
15-18 June 2003
Firstpage :
575
Lastpage :
579
Abstract :
The paper presents a Bayesian approach for tracking the times-of-arrival (TOAs) of multiple wideband moving targets using a linear, passive sensor array, for use in smart antenna wireless applications. A novel form of posterior distribution describing the parameters of the received signal is developed. The nuisance parameters (source amplitudes and variances) of this distribution are integrated out to form a more computationally efficient estimator. The desired parameters are then tracked using particle filtering techniques. Simulation results demonstrate the effectiveness and robustness of this method.
Keywords :
Bayes methods; Monte Carlo methods; adaptive antenna arrays; array signal processing; filtering theory; hidden Markov models; mobile radio; parameter estimation; radio receivers; radio tracking; statistical distributions; Bayesian approach; hidden Markov model; linear sensor array; moving receiver tracking; nuisance parameters; particle filters; passive sensor array; posterior distribution; sequential MCMC techniques; sequential Monte Carlo methods; smart antenna wireless applications; time-of-arrival; wireless communication systems; Bayesian methods; Broadband antennas; Intelligent sensors; Linear antenna arrays; Particle filters; Particle tracking; Sensor arrays; Target tracking; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
Type :
conf
DOI :
10.1109/SPAWC.2003.1319026
Filename :
1319026
Link To Document :
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