等高程运动假设的单星角度融合多普勒变化率跟踪方法  

A fusion of angle and Doppler rate-of-changing based tracking method forconstant altitude moving target by single satellite

作　　者：李华[1] 郭福成[1] 

机构地区：[1]国防科技大学电子信息系统复杂电磁环境效应国家重点实验室,长沙410073

出　　处：《空间电子技术》2018年第4期41-48,共8页Space Electronic Technology

基　　金：国防科技项目基金(Grant No.3101140);上海航天科技创新基金(No.SAST2015028)

摘　　要：为实现等高程巡航空中运动辐射源的位置、速度的高精度估计,文章提出了一种在经纬高坐标系下,以目标的经纬度及正北正东方向速度为状态矢量建模,并融合角度和多普勒变化率的单星无源定位容积卡尔曼滤波(CKF)跟踪方法。仿真结果表明,该方法的定位误差及速度估计误差可达克拉美-罗下限(CRLB)。与在地心地固(ECEF)直角坐标系下建模相比,经纬高坐标系下等高程运动建模方式在收敛速度及位置、速度估计精度方面均有明显提升。In order to implement the high precision estimation of position and velocity for constant altitude moving emitters in the air,this paper proposes a passive locating and tracking method combined Doppler rate-of-changing with angle of arrival using single satellite,the state model and the measurement model are set up under geodetic coordinate system,using a state vector contains latitude,longitude,the velocity in the north direction and the velocity in the east direction. And the cubature Kalman filter（ CKF） is developed to track the moving target. The simulation results show that the positioning error and velocity estimation error of the proposed positioning system can reach Cramer-Rao low bound（ CRLB）. Compared with model set up in ECEF coordinates,for a constant altitude moving target,the model under geodetic coordinate system convergences quickly,and the position and velocity estimation accuracy are improved significantly.

关 键 词：卫星 多普勒变化率 无源定位 滤波 

分 类 号：TN971[电子电信—信号与信息处理]