The Square Root Unscented Kalman Filter in Spacecrafts Autonomous Navigation

摘要：

Concerning the problems in the process of the spacecraft’s autonomous navigation, the square-root Unscented Kalman Filter(SRUKF) is designed to estimate the relative state between the pursuing spacecraft and the target. C-W equation is discreted to iterate. For the case that all the measuring datas get from radars, the observing equation was deduced. Compared with the conventional extended Kalman Filter(EKF), no Jacobian matrix is required to calculate in this algorithm, the computational cost is reduced and the estimation accuracy is also improved. Simulation results show that the algorithm can quickly converge even for large initial errors and is efficient.

作者: Peng Li Shenmin Song Duan G.R

作者单位: 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: 945-948

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）