基于威胁程度的目标跟踪传感器管理方法

Target Tracking Sensor Management Method Based on Threat Degree

在多目标多传感器跟踪问题中,面对目标和传感器的增加与传感器资源和传输能耗的限制,需优化传感器管理策略和信息融合系统结构;同时,随着一体化网络协同作战的发展和对战场态势感知的需求不断增加,需将目标威胁程度纳入传感器管理考虑范畴。提出了基于威胁程度的传感器优化管理方法,该方法综合Rényi信息增量和威胁程度设置了回报函数,并以回报函数的最大化为优化目标进行传感器的资源分配。仿真试验结果表明,该方法能够充分利用传感器资源,通过数据融合改善整体跟踪效果,同时降低了重要高威胁目标的跟踪误差。

In multi-object multi-sensor tracking issue,aimed at the increasing quantity of the targets and the sensors,and the limit of sensor resources and transmission energy consumption,it is significant to optimize the sensor management strategy and the structure of the information fusion system.Meanwhile,with the development of network cooperative operations in military area,and increasing requirement of battlefield situation awareness,it is necessary to embed the threat degree of non-cooperative targets into the thinking scope of sensor management.A sensor management optimization method based on the threat degree is proposed.A reward function is set in the method,integrated with Rényi information increment and threat degree.With the optimization purpose of a maximum reward function,the sensor resource allocation is carried out.Simulation experiment result shows that the method can make full use of the sensor resources.By data fusion,the overall tracking performance is enhanced,and the tracking error of the important and high-threat targets is reduced.