Referenced Items are not available for this document.
A multi-sensor information fusion based aircraft attitude determination system is investigated. Firstly, A scheme of the aircraft attitude determination system including multiple sensors is designed, in which gyroscope measures the angular velocity, the strap-down accelerometer measures the acceleration, the magnetic heading meter measures the yaw angle, and the GPS measures the velocity. Secondly, the measurement models of the multiple sensors are described. Thirdly, an information fusion filtering algorithm which is equal to Kalman filtering is derived based on information fusion estimation theory, and is used to obtain the attitude estimation and the velocity estimation of the aircraft by fusing all the measurement information. Finally, the simulation results show the feasibility and the effectiveness of the proposed aircraft attitude determination system.
Published in:
Computer Science and Information Engineering, 2009 WRI World Congress on
(Volume:6
)
Date of Conference: March 31 2009-April 2 2009
- Page(s):
- 474 - 478
- Print ISBN:
- 978-0-7695-3507-4
- INSPEC Accession Number:
- 10794167
- Conference Location :
- Los Angeles, CA
- Digital Object Identifier :
- 10.1109/CSIE.2009.108
- Product Type:
- Conference Publications
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