Tracking of subsequently fired projectiles

Author

Polat, Melda ; Demirekler, M.

Author_Institution

Savunma Sistem Teknolojileri Grubu, ASELSAN A.S., Ankara, Turkey

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

4

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

ballistics; object tracking; projectiles; Bayesian approach; JPDA framework; ballistic object group problem; kinematics; object extension; object tracking; random matrices; subsequent projectiles; subsequently fired projectiles; Bayes methods; Kinematics; Object tracking; Projectiles; Radar; Shape; Target tracking; Ballistic Target Tracking; Cluster Tracking; Extended Objects; Group Target Tracking; JPDA; Multi-Target Tracking; Random Matrices; Subsequent Projectiles;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2013 21st

Conference_Location

Haspolat

Print_ISBN

978-1-4673-5562-9

Electronic_ISBN

978-1-4673-5561-2

Type

conf

DOI

10.1109/SIU.2013.6531186

Filename

6531186