DocumentCode :
1436085
Title :
Direction-of-arrival estimation of an amplitude-distorted wavefront
Author :
Stoica, Petre ; Besson, Olivier ; Gershman, Alex B.
Author_Institution :
Dept. of Syst. & Control, Uppsala Univ., Sweden
Volume :
49
Issue :
2
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
269
Lastpage :
276
Abstract :
In a number of array signal processing applications, such as underwater source localization, the propagation medium is not homogeneous, which causes a distortion of the wavefront received by the array. There has been some interest in the direction-of-arrival (DOA) estimation of such distorted wavefronts. Most works on this problem considered the so-called multiplicative noise scenario based on the rather strong assumption that the distortion is random and can be parameterized by a small number of parameters. To gain robustness against mismodeling, we assume a scenario in which the wavefront amplitude is distorted in a completely arbitrary way. Our main contribution consists of showing how to eliminate all nuisance (distortion) parameters from the likelihood function corresponding to such a scenario and obtain a robust maximum likelihood DOA estimate by means of a simple one-dimensional (1-D) search. Despite its simplicity, it is shown that the estimator has a performance close to the Cramer-Rao Bound (CRB), for which we derive a closed-form expression. Moreover, its accuracy is comparable with that of estimators that require knowledge of the form of amplitude distortions
Keywords :
acoustic signal processing; array signal processing; direction-of-arrival estimation; maximum likelihood estimation; noise; underwater acoustic propagation; 1D search; CRB; Cramer-Rao Bound; MLE; accuracy; amplitude distortions; amplitude-distorted wavefront; array signal processing applications; closed-form expression; direction-of-arrival estimation; distorted wavefront amplitude; distortion parameters elimination; heterogeneous medium; likelihood function; maximum likelihood DOA estimate; multiplicative noise; propagation medium; random distortion; underwater source localization; Array signal processing; Closed-form solution; Direction of arrival estimation; Gaussian noise; Maximum likelihood estimation; Noise robustness; Phase distortion; Phased arrays; Sensor arrays; Sensor phenomena and characterization;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.902109
Filename :
902109
Link To Document :
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