基于双向风险的多传感器管理方法

Bidirectional Risk Based Multi-sensor Management Method

在多传感器协同跟踪系统中,多传感器辐射风险和目标误识别风险等风险因素会导致目标跟踪系统被打击概率增大、跟踪精度与安全性降低等问题出现。因此,提出一种基于双向风险的多传感器管理方法,以解决多种风险因素下的多传感器分配任务。首先,综合我方传感器辐射以及对敌方新出现目标的类型识别错误风险因素,并利用敌方目标与传感器之间的距离变化,进而构建基于自适应风险权值的双向风险模型;其次,通过引入目标跟踪精度函数,并结合构建的双向风险约束,提出多传感器分配问题,进而合理分配多传感器资源。仿真结果表明,所提方法具有可行性,且能较好地提高目标跟踪系统精确性和安全性。

In a multi-sensor collaborative tracking system such risk factors as multi-sensor radiation and target misidentification may lead to problems of increased probability of system being attacked decreased tracking accuracy and decreased system safety.Therefore this paper proposes a multi-sensor management method based on bidirectional risk which is used to solve multi-sensor allocation under multiple kinds of risks.First the radiation risk of our sensors and the misidentification risk of new enemy targets are integrated and a bidirectional risk model with adaptive risk weights is built by using the change of range between the target and the sensors.Second the optimization problem of multi-sensor allocation is proposed which includes target tracking accuracy function and the bidirectional risk constraints and the sensor resources are reasonably allocated.Simulation results show that the proposed method is feasible and can improve the accuracy and safety of multi-sensor tracking system.