Threat assessment and sensor control for multi-target tracking via PHD filter
Hui Chen, Zhongliang He, Bei Liu · 2017
In consideration of the sensor control under the real tracking environment, this paper presents a threat assessment based sensor control. First, the factors that affect the threat level of target are analyzed. Moreover, this paper uses the approximate multi-target filter to estimate multi-target states, and determine the target with the maximum threat degree at the different times based on the Tactical Significance Map (TSM) function. Finally, the Rényi divergence is used as objective function for sensor control, and the final control policy is solved through the maximum information gain criterion. Simulation results show the effectiveness of the presented method.