Adaptive variable update rate algorithm for tracking targets with a phased array radar

The analysis postulates an algorithm for adaptively varying the target-track update rate as a function of target maneuvering. The algorithm proposes to vary the target observation time interval by an amount that tends to maintain a constant residual error. As an example, the algorithm is shown to be implemented with a two-dimensional alpha-beta filter. Simulated results are calculated for a target maneuver consisting of a single 90 deg turn. The results show that when a maneuver is detected, the sampling time interval can be reduced rapidly to facilitate tracking with reduced error. After the maneuver, the sampling interval is increased automatically so more time can be made available to the phased array radar for other activities.