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
Link To Document :
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