Title :
A Bayesian approach to tracking wideband targets using sensor arrays and particle filters
Author :
Ng, William ; Reilly, James P. ; Kirubarajan, Thia
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
fDate :
28 Sept.-1 Oct. 2003
Abstract :
This paper presents a Bayesian approach for tracking the directions-of-arrival (DOAs) of multiple wideband moving targets using a linear, passive sensor array, for use in smart antenna wireless applications, for example. 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; array signal processing; direction-of-arrival estimation; filtering theory; target tracking; Bayesian approach; DOA; directions-of-arrival; efficient estimator; linear passive sensor array; nuisance parameters; particle filtering techniques; posterior distribution; smart antenna wireless applications; wideband target tracking; Bayesian methods; Broadband antennas; Directive antennas; Intelligent sensors; Linear antenna arrays; Particle filters; Particle tracking; Sensor arrays; Target tracking; Wideband;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289459