基于任务控制的动态多传感器管理方案

针对信息融合系统平台跟踪多目标过程中的多传感器管理问题，提出了一种基于任务控制的动态多传感器管理方案。根据滤波后的目标误差协方差与不同战场态势下的期望之间的差异，度量目标当前精度要求。利用模糊物元分析法，根据目标自身属性值和当前状态值，计算欧式贴近度，从而获得目标威胁度。在综合考虑传感器性能和系统资源能耗的基础上，建立了任务需求模型。依据该模型控制多传感器实现对目标的探测，寻求模型的最优解。仿真结果表明，该方案在保持目标跟踪精度及时效性的同时，能适当地控制资源消耗，减少系统总耗能。

Dynamic multi-sensor management algorithm based on task control

A dynamic multi-sensor management algorithm based on task control is proposed to overcome the multi-sensor management difficulties during tracking multi-targets on the platform of an information fusion system. According to the diversities of error covariance of filtered targets and expectations under different battlefield situations, the accuracy demands of the current target are measured. Using fuzzy-matter element analysis, Euclid approach degree is calculated to achieve the degree of the target’s threat depending on the target values of their own property and the current state. Considering the sensor functions and resource consumption, a task demand model is found. The model can control a number of sensors to measure and update the target, thus the optimal solution for the model is found. The simulation results show that the algorithm can both appropriately control resource consumption and reduce the total energy consumption of the system while tracking to multi-targets with accuracy and timeliness.