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