摘要
利用双星定位系统的两个测距信息外加星敏感器的测角信息,基于信息融合和信息守恒理论,采用联合推广卡尔曼滤波算法,对低轨卫星进行自主定轨仿真研究.计算结果表明,该方法可以显著提高定轨精度,达到低轨卫星自主定轨的精度要求.
Space-based TT＆C technology and autonomous satellite orbit determination technology are the trend of development of modern spaceflight technology. Taking full advantage of ranging information of the Double Star Positioning System and the angular information of a star sensor, this paper puts forward an extended federated Kalman filtering algorithm for autonomous satellite orbit determination based on information fusion theory and information conversation principle. Simulation results show that the algorithm improves the accuracy of orbit determination.
出处
《飞行器测控学报》
2005年第4期20-25,共6页
Journal of Spacecraft TT&C Technology
关键词
自主定轨
信息融合
联合推广卡尔曼滤波
Autonomous Orbit Determination
Information Fusion
Extended Federated Kalman Filtering
