DocumentCode :
1617050
Title :
Odometer Aided In-Motion Alignment Based on Strong Tracking Filter for Land Vehicles
Author :
Wenshao, Gao ; Xuan, Xiao ; Songtian, Shang ; Zhihong, Deng
Author_Institution :
Beijing Inst. of Technol., Beijing, China
fYear :
2012
Firstpage :
1514
Lastpage :
1517
Abstract :
In-motion alignment of strap-down inertial navigation system (SINS) for land use is researched in this paper. Alignment process is accomplished in 10 minutes by using the information from a combined odometer whose installation angles from vehicle body frame (VBF) to INS body frame is not calibrated. The difference of the SINS velocity result and the odometer measured velocity projected to navigation coordinate is taken as the measurement for the filter. Focusing on the problem that the statistic property of measurement noise is vague causing by the installation angles and the inconstant scale factor error of odometer, a strong tracking kalman filter (STKF) is employed and designed in the in-motion alignment of the SINS/OD integration navigation system. The experiment result shows that compared with traditional kalman filter (KF), STKF has faster convergence speed and higher accuracy, particularly in azimuth error improved greatly.
Keywords :
Kalman filters; distance measurement; inertial navigation; tracked vehicles; velocity measurement; INS body frame; SINS-OD integration navigation system; STKF; VBF; azimuth error; installation angles; land vehicles; measurement noise statistic property; navigation coordinate; odometer aided in-motion alignment process; strong tracking Kalman filter; vehicle body frame; velocity measurement; Industrial control; SINS; in-motion alignment; odometer aided; strong track filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.398
Filename :
6322688
Link To Document :
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