A Bayesian Approach to Track Multiple Extended Targets Using Particle Filter for Nonlinear System
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To track multiple extended targets for the nonlinear system, this paper employs the idea of the particle filter to track kinematic states and shape formation of extended targets.
First, the Bayesian framework is proposed for multiple extended targets to jointly estimate multiple extended target state and association hypothesis.
Furthermore, a joint proposal distribution is defined for the multiple extended target state and association hypothesis.
Then, the Bayesian framework of multiple extended target tracking is implemented by the particle filtering which could release the high computational burden caused by the increase in the number of extended targets and measurements.
Simulation results show that the proposed multiple extended target particle filter has superior performance in shape estimation and improves the performance of the position estimation in the situation that there are spatially closed extended targets.
American Psychological Association (APA)
Han, Yulan& Han, Chongzhao. 2018. A Bayesian Approach to Track Multiple Extended Targets Using Particle Filter for Nonlinear System. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208858
Modern Language Association (MLA)
Han, Yulan& Han, Chongzhao. A Bayesian Approach to Track Multiple Extended Targets Using Particle Filter for Nonlinear System. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1208858
American Medical Association (AMA)
Han, Yulan& Han, Chongzhao. A Bayesian Approach to Track Multiple Extended Targets Using Particle Filter for Nonlinear System. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1208858
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208858