Recursive Bayesian estimation: bearings-only applications

被引:66
|
作者
Karlsson, R [1 ]
Gustafsson, F [1 ]
机构
[1] Linkoping Univ, Dept Elect Engn, S-58183 Linkoping, Sweden
关键词
D O I
10.1049/ip-rsn:20045073
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:305 / 313
页数:9
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