Smart target tracking algorithm based on multi-mode sensor scheduling
基于传感器多模式调度的智能目标跟踪算法

The smart target has anti-tracking characteristics. If the operating mode of the sensor for tracking the smart target is changed, the smart target modifies its motion state accordingly. An interacting multiple-model tracking algorithm based on multi-mode sensor scheduling is proposed for effectively tracking a smart target. Firstly, the motion of the smart target is modeled by the hybrid multiple models to describe its intelligent motion characteristics related to sensor modes. Secondly, based on the target-tracking error in one-step ahead, target motion-trend errors in two-step ahead, and the radiation cost of sensor mode, a multi-mode sensor scheduling strategy is proposed, and for which the object functions are built. Finally, the multi-mode sensor scheduling strategy and the interactive multiple model tracking algorithm are combined to form a cyclic closed-loop from sensor scheduling to interacting tracking and back to sensor scheduling. This closedloop operation effectively increases the adaptability in tracking a smart target. When compared with a fixed-mode sensor scheduling strategy or a multi-mode sensor scheduling with myopic policy, we find in simulations this sensor scheduling strategy is with higher accuracies in continuously tracking smart targets.