Modified moose estimator for tracking highly manoeuvring targets

Full metadata record

DC Field	Value	Language
dc.contributor.author	Liu, CM	en_US
dc.contributor.author	Wu, KG	en_US
dc.date.accessioned	2019-04-02T06:00:01Z	-
dc.date.available	2019-04-02T06:00:01Z	-
dc.date.issued	1997-04-10	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://dx.doi.org/10.1049/el:19970478	en_US
dc.identifier.uri	http://hdl.handle.net/11536/149505	-
dc.description.abstract	The Moose's adaptive state estimator has proved successful in tracking a manoeuvring submarine [1]. However, its application to track highly manoeuvring aircraft will encounter problems in complexity and tracking accuracy [2, 3]. The authors present a new algorithm that extends the Moose estimator to solve its problems. The new algorithm is verified through Monte-Carlo simulation and shows a better performance than the original Moose algorithm.	en_US
dc.language.iso	en_US	en_US
dc.subject	target tracking	en_US
dc.subject	Kalman filters	en_US
dc.title	Modified moose estimator for tracking highly manoeuvring targets	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1049/el:19970478	en_US
dc.identifier.journal	ELECTRONICS LETTERS	en_US
dc.citation.volume	33	en_US
dc.citation.spage	672	en_US
dc.citation.epage	674	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1997WW46800020	en_US
dc.citation.woscount	0	en_US
Appears in Collections:	Articles