DocumentCode :
2078320
Title :
Passive beamforming enhancements in relation to active-passive data fusion
Author :
Yocom, Bryan A. ; Yudichak, T.W. ; La Cour, Brian R.
Author_Institution :
Appl. Res. Labs., Univ. of Texas at Austin, Austin, TX
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
383
Lastpage :
387
Abstract :
One goal of active-passive data fusion is to combine the complementary information provided by active and passive sonar sensors to better perform signal processing. Here, investigation is restricted to passive direction of arrival tracking of a single target of interest in the presence of high SNR interferers. Prior information, available in a Bayesian framework, is used to increase track accuracy and decrease computational demand. Comparisons are made to a conventional approach that uses no prior information.
Keywords :
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; sensor fusion; active-passive data fusion; passive beamforming enhancements; signal processing; Array signal processing; Bayesian methods; Filtering; Kalman filters; Measurement errors; Signal processing; Sonar detection; Sonar measurements; Target tracking; Underwater tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074430
Filename :
5074430
Link To Document :
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