UKF算法及其在GPS卫星轨道短期预报中的应用

¹山东科技大学测绘科学与工程学院,青岛市前湾港路579号266510;²中国测绘科学研究院,北京市北太平路16号,100039;³香港理工大学土地测量与地理资讯学系,香港九龙红

基金项目: 香港RGC基金资助项目(B-Q934)，山东省基础地理信息与数字化技术重点实验室开放研究基金资助项目(SD060804)

详细信息

Unscented Kalman Filter and Its Application in GPS Satellite Orbit Short-Dated Prediction

¹College of Geo-information Science and Engineering,Shandong University of Science and Technology,579 Qianwangang Road,Qingdao 266510,China;² Chinese Academy of Surveying and Mapping,16 Beitaiping Road,Beijing 100039,China;³ Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Hunghom,Kowloon,Hong Kong,China

Funds: 香港RGC基金资助项目(B-Q934)，山东省基础地理信息与数字化技术重点实验室开放研究基金资助项目(SD060804)

摘要: 分析了GPS卫星预报星历,在比较分析EKF和UKF优缺点的基础上,将UKF引入GPS卫星轨道预报研究中。数值模拟和结果分析表明,UKF方法预报更稳定,能有效地提高轨道预报精度和稳定性。
- UKF /
- EKF /
- 卫星轨道预报 /
- 动力学模型 /
- 状态转移矩阵
Abstract: The paper analyze the GPS ephemeris,on the base of comparing EKF to UKF,a hybrid orbit prediction method is investigated based on UKF in this paper.It is shown that UKF is more stable,and improved the orbit predicted precision.It offers a new idea for some others satellites orbit determination as Galileo.
- unscented Kalman filter /
- extended Kalman filter /
- satellite orbit prediction /
- dynamic model /
- state transition matrix