基于天基观测网络的卫星光学定位研究  

Research on Satellite Optical Positioning Based on Space-Based Observation Network

作　　者：付豪 付小宁[1] 

机构地区：[1]西安电子科技大学,陕西 西安

出　　处：《计算机科学与应用》2021年第12期2953-2970,共18页Computer Science and Application

摘　　要：对于空间高速运动目标比如导弹来说,通过天基网络对目标进行光学定位,可以很好地改善地基观测系统定位精度不高的问题。在本文的研究中先对单星的可观测性能进行了分析,然后基于天基观测系统中的双星目标几何定位得到目标的位置信息,再使用无迹卡尔曼滤波算法(UKF)对目标进行定位跟踪。从仿真结果分析可知,无迹卡尔曼滤波算法在对超高速运动的目标进行定位跟踪时有更高的稳定性和优越性,可使得对目标的定位误差达到100 m/1000 Km以下。For space high-speed moving targets such as missiles, optical positioning of targets through space-based network can well improve the problem of low positioning accuracy of ground-based observation system. In this paper, the observability of a single satellite is analyzed, and then the position information of the target is obtained based on the geometric positioning of the double satellite target in the space-based observation system, and then the unscented Kalman filter algorithm (UKF) is used to locate and track the target. The simulation results show that the unscented Kalman filter algorithm has higher stability and superiority in positioning and tracking the ultra-high-speed moving target, and the positioning error of the target can reach less than 100 m/1000 km.

关 键 词：天基光学 空间目标 单星观测 双星定位 无迹卡尔曼滤波 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]