针对基于效能函数的传感器管理算法存在的问题, 结合集中式序贯Kalman滤波算法, 将协方差自适应传感器管理算法应用到目标-传感器(组合)配对函数的计算中, 实现了传感器与目标配对系数的赋值与自动更新; 结合目标优先级函数, 提出了一种基于效能函数的自适应传感器分配算法。该算法的仿真结果表明, 有限的传感器资源既能够根据期望跟踪精度自适应分配, 又能够根据目标优先级动态地调整, 使传感器的分配策略更加合理有效。

The problem existed in the sensor management algorithm based on efficacy function was analyzed.By introducing the idea of centralized sequential Kalman Filter algorithm the covariance self-adaptive sensor management algorithm was applied to the calculation of efficacy function and the automatic updating of sensor-target pairing coefficient was realized.Combined with target priority a self-adaptive sensor allocation algorithm based on efficacy function was presented.The simulation showed that limited sensor resources can not only be distributed dynamically according to the expected precision but also be adjusted based on the target priority which makes the sensor allocation more reasonable and effective.