DocumentCode
2212518
Title
Initial attitude estimation of tactical grade inertial measurement unit for airborne environmental camera
Author
Ahn, Hyo-Sung ; Won, Chang-Hee ; Olsen, Douglas ; Schultz, Richard ; Johnson, Arnold ; Semke, William ; Seielstad, George A. ; Wivell, Chuck
Author_Institution
North Dakota Univ., Grand Forks, ND, USA
Volume
5
fYear
2003
fDate
4-6 June 2003
Firstpage
4403
Abstract
The initial attitude estimation of the airborne navigation system greatly affects the overall attitude accuracy. The initial alignment depends on the inertial measurement unit´s performance. In the case of the tactical grade inertial measurement unit, even though tilt angles can be estimated relatively accurate by using accelerometer outputs, it is difficult to determine the azimuth angle with gyroscope outputs because of the uncompensated bias components. Therefore, it is necessary to use the appropriate calibration method in order to compensate biases. In this paper, we propose a new method to determine the uncompensated biases. Furthermore, the measurement error covariance is difficult to determine in the navigation error equation because of the navigation frame disturbance. This paper uses the adaptive Kalman filter method to calculate the measurement error covariance matrix.
Keywords
adaptive Kalman filters; aircraft navigation; attitude control; avionics; covariance matrices; gyroscopes; measurement errors; adaptive Kalman filter method; airborne environmental camera; airborne navigation system; azimuth angle; gyroscope outputs; initial attitude estimation; measurement error covariance matrix; navigation error equation; navigation frame disturbance; tactical grade inertial measurement unit; Accelerometers; Azimuth; Calibration; Cameras; Covariance matrix; Equations; Gyroscopes; Measurement errors; Measurement units; Navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2003. Proceedings of the 2003
ISSN
0743-1619
Print_ISBN
0-7803-7896-2
Type
conf
DOI
10.1109/ACC.2003.1240532
Filename
1240532
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