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A Generalized Labeled Multi-Bernoulli filter for maneuvering targets

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Open access
Authors
Punchihewa, Y.
Vo, Ba Tuong
Vo, Ba-Ngu
Date
2016
Type
Conference Paper

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Punchihewa, 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.
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FUSION 2016 - 19th International Conference on Information Fusion, Proceedings
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Department of Electrical and Computer Engineering
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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.