View Item 

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets

Access Status
Open access
Authors
Date
2016
Type
Conference Paper

Metadata
Show full item record
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.

Citation
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.
Source Title
FUSION 2016 - 19th International Conference on Information Fusion, Proceedings
ISBN
School
Department of Electrical and Computer Engineering
Remarks

© 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.

URI
Collection