双被动红外运动探测器三维定位算法及仿真  

Algorithm and Simulation of 3D Passive Location with Two Infrared Moving Sensors

作　　者：盛跃宾[1] 陈定昌[2] 任强[1] 穆森[1] 张朝阳[2] 

机构地区：[1]中国航天科工集团第二研究院706所,北京100854 [2]中国航天科工集团第二研究院二部,北京100854

出　　处：《系统仿真学报》2006年第10期2746-2748,2756,共4页Journal of System Simulation

摘　　要：目标位置和红外探测器位置之间的几何关系对被动红外探测器纯角度定位精度影响很大,为获得最佳的几何关系,建立了红外探测器机动优化模型。当两个探测器飞到最佳位置时,先利用最小平方误差距离法估算出目标的位置,然后将其作为卡尔曼滤波的测量值进行滤波。仿真结果表明了该双站运动红外探测器机动算法和三维定位算法是有效的。The geometry between target＇s position and infrared sensors＇ positions affects the accuracy of bearing-only location with passive infrared sensors greatly. In order to obtain the optimal geometry, an optimal model of infrared sensors moving was proposed. When two sensors fly at the best positions, the algorithm of least squares error distance is used to estimate target position, and then the estimation is regarded as the measurements of Kalman filter. Kalman filter is used to improve the location position. Simulation shows it is efficient.

关 键 词：红外探测器 被动定位 卡尔曼滤波器 最小平方差 序列二次规划 

分 类 号：TN97[电子电信—信号与信息处理]