Observable Degree Analysis of Geostationary Satellitesnavigation System based on Singular Value Decoposition
In this paper, the observable degree analysis for geostationary satellitesnavigation system with measurement biases of ultaviolet sensors is considered. Using GNSS measurements and starlight angular distances, the navigation system adopts extended Kalman filter to calibrate measurement biases of the UV sensor by augmentation of bias parameters. Then the observable degrees of system states are analyzed based on the SVD of the observability matrix, the observable degree of the measurement bias of the yaw axis is extremely poor. Thus, the reduced-order extended Kalman filter is designed by neglecting the poor observable parameter. Finally, the results of the simulation indicate that the precision of reduced-order algorithm is similar with the original algorithm. Therefore, the observable degree analysis method in this paper is feasible.
observable degree Kalman filter satellite navigaition system singular value decomposition
Li Xiaochu Qiu Hongzhuan
School of Automation Science and Electrical Enginnering Beihang University Beijing, China
国际会议
秦皇岛
英文
1838-1843
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）