A New Algorithm for Satellite Autonomous Navigation Based on Information Fusion

摘要：

In this paper, an effective and reliable algorithm for satellite autonomous navigation is proposed. In order to speed the convergence of navigation errors, the autonomous navigation algorithm is designed with information fusion of magnetometer and radar altimeter. In this algorithm, a modified UKF is applied to perform the information fusion. Compare with conventional UKF and EKF, the modified UKF simplified the estimating process, improves the efficiency. Through the combined filter, a global optimum estimated state value is obtained. Simulation results show this information fusion navigation algorithm is steady and converge fast.

作者: Miao Ying Sun Zhaowei

作者单位: Research Centre of Satellite Technology,Harbin Institute of Technology Harbin 150001,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 1254-1258

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）