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
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