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New classes of tracking algorithms combining Variable-Structure-Interacting Multiple Model (VS-IMM) techniques, augmentation or dual estimation, and Unscented Kalman filtering are presented in this paper. These filter methods ensure significant self-adjusting and inherent manoeuvre detection capabilities. The algorithms are distinguished through their highly accurate course and speed estimations, even for manoeuvring targets. The performance of these techniques is demonstrated for targets performing turns of varying cross accelerations.
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