An optimal filter, equivalent to Kalman filtering, is developed for tracking reentry vehicles from shipboard radars. This filter is simpler to implement than Kalman and is based on the idea of minimizing the mean squared error in the position of the reentry vehicle. (Author)
Optimal Alpha-Beta Filtering for Tracking Reentry Vehicles from Shipboard Radars
1982
31 pages
Report
No indication
English
Radiofrequency Detection , Missile Tracking Systems , Radar tracking , Reentry vehicles , Advanced range instrumentation ship , Shipboard , Data reduction , Kalman filtering , Optimization , Comparison , Descent trajectories , Estimates , Recursive functions , Covariance , Optimal filtering , Alpha-Beta trackers
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