DocumentCode :
1179259
Title :
Recursive Bayesian estimation: bearings-only applications
Author :
Karlsson, R. ; Gustafsson, F.
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Sweden
Volume :
152
Issue :
5
fYear :
2005
fDate :
10/1/2005 12:00:00 AM
Firstpage :
305
Lastpage :
313
Abstract :
Recursive Bayesian estimation methods are applied to several angle-only applications. Air-to-air passive ranging, in addition to an air-to-sea application with terrain induced constraints, is discussed. The incorporation of terrain information improves estimation performance. The bearings-only problem is also discussed using experimental data from a torpedo, i.e. sea-to-sea with a passive sonar sensor. The Bayesian estimation problem is solved using the particle filter and the marginalised particle filter. For comparison, a filter bank method using range parameterised extended Kalman filters is used.
Keywords :
Bayes methods; Kalman filters; channel bank filters; passive filters; recursive estimation; sonar signal processing; sonar tracking; target tracking; tracking filters; air-to-air passive ranging; air-to-sea application; bearing application; marginalised particle filter; passive sonar sensor; recursive Bayesian estimation method; sea-to-sea; terrain induced constraint; torpedo;
fLanguage :
English
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2395
Type :
jour
DOI :
10.1049/ip-rsn:20045073
Filename :
1512725
Link To Document :
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