DocumentCode
2701907
Title
On-the-move alignment for strap-down inertial navigation system
Author
Zhao, Changshan ; Qin, Yongyuan ; Yan, Gonming
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xian
fYear
2008
fDate
20-23 June 2008
Firstpage
1428
Lastpage
1432
Abstract
The initial alignment of the terrestrial vehicle borne strap-down inertial navigation system (SINS) is investigated. An on-the-move alignment algorithm using the information provided by an odometer, whose scale factor may have an unknown constant bias, is proposed. This algorithm is designed to take the place of the stationary-based fine alignment. The vehicle, during the fine alignment phase, is not necessarily to be kept in stationary state. It can leave for the destination after the stationary-based coarse alignment, and accomplishes fine alignment in the moving state. The alignment formulation of the new algorithm is derived. On the basis of the formulation, a Kalman filter is designed, which uses the difference of the SINS positioning result and the odometer dead reckoning result as the measurement. The results of a nonlinear Monte Carlo simulation show that this algorithm can accomplish initial alignment and odometer scale factor calibration jointly within 10 minutes.
Keywords
Kalman filters; Monte Carlo methods; inertial navigation; Kalman filter; SINS positioning; nonlinear Monte Carlo simulation; odometer; on-the-move alignment algorithm; stationary-based coarse alignment; strap-down inertial navigation system; Algorithm design and analysis; Automation; Dead reckoning; Educational institutions; Equations; Filters; Global Positioning System; Inertial navigation; Silicon compounds; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-2183-1
Electronic_ISBN
978-1-4244-2184-8
Type
conf
DOI
10.1109/ICINFA.2008.4608226
Filename
4608226
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