TRACKING OF SUBSEQUENTLY FIRED PROJECTILES
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Publication Details
Output type: Other
Author list: Polat M, Demirekler M
Publication year: 2013
Number of pages: 4
ISBN: 978-1-4673-5562-9
eISBN: 978-1-4673-5563-6
ISSN: 2165-0608
Abstract
In this paper, estimating the states of an object extension characterized by a collectively moving ballistic object group (cluster) problem is analyzed. Recently, a Bayesian approach to extended object tracking using random matrices has been proposed. This new approach simultaneously estimates the ellipsoidal shape together with the kinematics of a group of ballistic targets. Target group that is tracked consists of subsequent projectiles. JPDA framework is used together with this new approach to emphasize the pros and cons of both approaches.
Keywords
Ballistic Target Tracking, Cluster Tracking, Extended Objects, Group Target Tracking, JPDA, Multi-Target Tracking, Random Matrices, Subsequent Projectiles
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