分析了当传感器资源较丰富时采用基于联合信息增量的传感器管理算法存在的问题,结合协方差自适应传感器管理算法的思想,给出了一种协方差和联合信息增量联合控制的传感器管理算法,并进行了算法的仿真。仿真结果表明,该算法既能够根据期望的精度对目标进行跟踪,又能够根据目标的机动性来动态地分配传感器资源,使得传感器的分配策略更加灵活。

The problems existed in the sensor management algorithm based on united information gain when there are abundant sensor sources was analyzed. Based on the idea of covariance adaptive sensor management algorithm,one kind of sensor management algorithm jointly controlled by covariance and information gain was presented,and simulation was carried out to verify the algorithm. The simulation showed that this sensor management algorithm can track the target according to the expected precision,and allocate sensors effectively according to the target flexibility,thus can save much more sensor resources.