DocumentCode :
3153508
Title :
An Adaptive Filter for INS/GPS Integrated Navigation System
Author :
Shi, Hang ; Wu, Zhou ; Liu, Baosheng
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
Volume :
1
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
651
Lastpage :
654
Abstract :
The integrated navigation system, specially the system based on GPS and INS, is a leading trend of navigation technology, and some of typical integrated navigation systems have been developed and tested in the past few years (Farrell, 1998). But due to the complex application circumstance, it is difficult to describe the noise statistical property accurately. In this paper, a modified adaptive filter algorithm is presented for INS/GPS integrated navigation system. At first, an improved Kalman filter and Hinfin robust filter are explicitly represented for INS/GPS integrated navigation system. Meanwhile, a standard for judging that whether the filter trends to divergence is proposed to combine the two methods. Aiming at the detail position/velocity integrated mode, the computer simulation result of INS/GPS integrated navigation show that this method can restrain the divergence effectively and has better adaptive ability
Keywords :
Global Positioning System; adaptive Kalman filters; inertial navigation; Hinfin robust filter; Kalman filter; adaptive filter; global positioning system; inertial navigation system; integrated navigation system; Adaptive filters; Aircraft navigation; Application software; Automation; Filtering algorithms; Global Positioning System; Laboratories; Noise reduction; Noise robustness; Systems engineering and theory; H robust filter; INS/GPS Integrated Navigation [YUA,93]; adaptive filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
Type :
conf
DOI :
10.1109/CESA.2006.4281733
Filename :
4281733
Link To Document :
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