摘要
为了实现非合作式传感器对空间运动目标的有效捕获,在分析kalman滤波误差协方差矩阵的基础上,建立了传感器对目标跟踪误差的空间分布模型,并利用该模型提出了一种基于联合高斯分布的截获概率计算方法。该方法经过降维处理,降低了截获概率计算的复杂度,提高了运算的实时性。仿真实验表明,所提算法具有良好的估计性能。最后,对截获概率的误差来源、影响因素进行了深入的分析并得出了相关结论,可为实际工程应用提供了一定的参考价值。
To capture the moving target in the space by using the system of uncooperative sensors, an error distributing model of the space moving targets was established based on the position error covariance matrixes of the space moving targets by Kalman Filter. Using this model, the paper proposed a new calculation method of the interception probability based on the joint Gauss probability distribution. The method reduced the dimension to lessen the amount of operations. Finally, the paper analyzed the error sources and the factors which greatly affect the results. The simulation results indicate that the method has a better estimate performance which can provide some references for projects.
出处
《计算机仿真》
CSCD
北大核心
2009年第9期8-11,共4页
Computer Simulation
关键词
截获概率
非合作式传感器
协方差矩阵
Interception probability
Uncooperative sensors
Covariance matrix
