SINS/GPS/CNS Integrated Navigation Method Study Based on Federated Filter

摘要：

GPS (Global Positioning System) have high position and velocity precision, star sensor is a high accuracy attitude measurement system, SINS (Strapdown Inertial Navigation System) can get all navigation information precisely at short period. In order to realize high-precision navigation, according to analyze the error model of above systems, both of the state equations and measurement equations were studied. Decentralized Fusion method was used in navigation information processing in which Kalman Filter was used as Local-Estimator, and a new kind of Federated Filter based on partial information fusion was proposed. One of the filter configuration was been selected in the integrated navigation system. The results of the simulation validate that the navigation accuracy can be improved to a higher level in this method.

作者: Ren Li Xijun Chen Li Wang Baiting Zhao Qingshuang Zeng

作者单位: Space Control and Inertial Technology Research Center 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: 365-369

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）