Comparison of recursive and batch processing for impact point prediction of ballistic targets

The paper deals with the problem of impact point prediction of ballistic targets (BT) by processing measurements acquired either by 3D surveillance or multifunctional phased-array radars. It is assumed that the radar acquires a limited number of measurements that do not encompass the whole target tr...

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Bibliographic Details
Main Authors: Fieee, A.F., Immediata, S., Timmoneri, L., Meloni, M., Vigilante, D.
Format: Conference Proceeding
Language:English
Subjects:
Coordinate measuring machines
Filtering
Maximum likelihood estimation
Phase measurement
Radar measurements
Radar tracking
Surveillance
Target tracking
Time measurement
Trajectory
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Summary:The paper deals with the problem of impact point prediction of ballistic targets (BT) by processing measurements acquired either by 3D surveillance or multifunctional phased-array radars. It is assumed that the radar acquires a limited number of measurements that do not encompass the whole target trajectory; thus the established target track has to be extrapolated ahead in time in order to predict the coordinates of the impact point. In this paper we compare performance of batch (i.e. maximum likelihood estimation, MLE) and recursive (extended Kalman filter EKF and unscented Kalman filter UKF) filtering techniques.
ISSN:1097-5659
2375-5318
DOI:10.1109/RADAR.2005.1435805