DocumentCode :
1345091
Title :
Land Vehicle Dynamics-Aided Inertial Navigation
Author :
Wang, J.-H. ; Gao, Y.
Author_Institution :
Applanix, Trimble Co. Canada, Richmond Hill, ON, Canada
Volume :
46
Issue :
4
fYear :
2010
Firstpage :
1638
Lastpage :
1653
Abstract :
The major challenge of using low-cost micro-electro-mechanical-system (MEMS) inertial navigation system (INS) is the rapid navigation error drift when the aiding sensors are unavailable. A self-contained dynamics-aided error correction method is developed to overcome this problem. Additional measurements are generated to update the navigation filter and control the navigation error based on the knowledge of land vehicle dynamics. The contribution of the proposed dynamics-aided method to INS/GPS navigation during long GPS outages has been demonstrated through field tests.
Keywords :
Global Positioning System; Kalman filters; inertial navigation; micromechanical devices; INS GPS navigation; Kalman filters; dynamics-aided error correction method; land vehicle dynamics-aided inertial navigation; microelectro-mechanical-system; navigation error drift; navigation filter; Global Positioning System; Inertial navigation; Land vehicles; Predictive models; Sensors; Vehicle dynamics;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2010.5595584
Filename :
5595584
Link To Document :
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