DocumentCode :
1093037
Title :
A deconvolution approach to source localization
Author :
Fuchs, Jean-Jacques ; Chuberre, Hervé
Author_Institution :
Rennes I Univ., France
Volume :
42
Issue :
6
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
1462
Lastpage :
1470
Abstract :
Due to its low resolution the conventional beamformer (CBF) has generally been neglected in the recent literature on array processing and considerable attention devoted to the high-resolution (HR) techniques. Applying a deconvolution approach to the output of the CBF, the authors obtain a source localization procedure whose performances are comparable to those of the most efficient HR techniques. The scheme, moreover, also furnishes estimates of the source powers and comprises a test that detects the number of sources present. It can indeed be seen as a means to obtain maximum likelihood estimates (MLE) when the CBF-output is taken as the observed data
Keywords :
array signal processing; inverse problems; maximum likelihood estimation; MLE; array processing; conventional beamformer; deconvolution approach; high-resolution techniques; maximum likelihood estimates; observed data; source localization; source power estimation; Apertures; Array signal processing; Deconvolution; Inverse problems; Maximum likelihood detection; Maximum likelihood estimation; Narrowband; Sensor arrays; Shape; Testing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.286961
Filename :
286961
Link To Document :
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