Nonlinear Algorithm Based on New KalmanFiltering Method for Integrated SINS/GPS Navigation System

被引：1
|
作者：
Li Bin [1 ]
Xiao Ming-qing [1 ]
机构：
[1] AF Engn Univ, Coll Engn, Xian 710038, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
关键词：
integrated navigation; navigation error; nonlinear;
D O I：
10.1109/ICICISYS.2009.5358351
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aimed at a loss-cost scheme of SINS/CPS integrated navigation system using loss precision inertial sensors (MIMU), the precise error equations is basic for filter The psi-angle model has been widely used However, the model is not effective for a system with large attitude errors because the neglected error terms in the model degrade the performance of a designed filter Different correcting methods of Kalman filter for deep integration of pseudorange with strapdown inertial navigation system are investigated in this paper On the base of analyzing navigation errors, a composed correcting Kalman filter for SINS / GPS integrated navigation system is proposed by combining output correcting method and feedback correcting method Compared with the two correcting methods, the composed correcting method improves the integration system navigation accuracy The simulation results show the efficiency of this composed correcting Kalman filter
引用
收藏
页码：557 / 561
页数：5
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