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dc.contributor.authorPunchihewa, Y.
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorVo, Ba-Ngu
dc.date.accessioned2017-03-15T22:27:22Z
dc.date.available2017-03-15T22:27:22Z
dc.date.created2017-03-14T06:55:54Z
dc.date.issued2016
dc.identifier.citationPunchihewa, Y. and Vo, B.T. and Vo, B. 2016. A Generalized Labeled Multi-Bernoulli filter for maneuvering targets, in Proceedings of the 19th International Conference on Information Fusion (FUSION), Jul 5-8 2016, pp. 980-986. Heidelberg, Germany: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/50642
dc.description.abstract

A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule. This paper describes a Generalized Labelled Multi-Bernoulli (GLMB) filter for tracking maneuvering targets whose movement can be modeled via such a JMS. The proposed filter is validated with two linear and nonlinear maneuvering target tracking examples.

dc.titleA Generalized Labeled Multi-Bernoulli filter for maneuvering targets
dc.typeConference Paper
dcterms.source.startPage980
dcterms.source.endPage986
dcterms.source.titleFUSION 2016 - 19th International Conference on Information Fusion, Proceedings
dcterms.source.seriesFUSION 2016 - 19th International Conference on Information Fusion, Proceedings
dcterms.source.isbn9780996452748
curtin.note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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