A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets
Methodology
2016-03-16 v1 Systems and Control
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.
Cite
@article{arxiv.1603.04565,
title = {A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets},
author = {Yuthika Punchihewa and Ba-Ngu Vo and Ba-Tuong Vo},
journal= {arXiv preprint arXiv:1603.04565},
year = {2016}
}