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Multiscan data association can significantly enhance tracking performance in critical radar surveillance scenarios involving multiple targets, low detection probability, high false alarm probability, evasive target maneuvers and finite radar resolution. Unfortunately, however, this approach is affected by the curse of dimensionality which hinders its real-time application for tracking problems with...
Maintaining track continuity is a challenging task for large area persistent surveillance with high target density, rapid target maneuvering, and low target-to-clutter ratio. When the sensor revisit interval is long, measurement-to-track association becomes rather difficult. Although maneuvering targets can be discriminated via Doppler processing, clutter still masks moving targets at certain aspect...
The difficulty for tracking maneuver target is to decide whether a maneuver occurs and when the target begins to maneuver. Since target tracking is a real time problem, the crucial factor is to detect the target maneuver as accurately and quickly as possible. A new approach for the maneuvering target tracking is presented, especially for the target maneuver detection in heavy noise. The algorithm...
False track discrimination performance of a target tracking algorithm in a heavy clutter environment depends on the track confirmation and the track termination thresholds. The optimum value of these thresholds depends on the environment, in particular on the given probability of detection and on the existing clutter density. When tracking ground targets the probability of target detection is nominally...
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