Tracking of subsequently fired projectiles

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.