DocumentCode :
495350
Title :
Multi-sensor Information Fusion for Aircraft Attitude Determination System
Author :
Ziyang, Zhen ; Zhisheng, Wang ; Yong, Hu
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
6
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
474
Lastpage :
478
Abstract :
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.
Keywords :
Kalman filters; aircraft; angular velocity measurement; attitude measurement; estimation theory; gyroscopes; matrix algebra; sensor fusion; GPS; Kalman filtering; aircraft attitude determination system; angular velocity; attitude estimation; estimation theory; gyroscope; information fusion filtering algorithm; magnetic heading meter; multisensor information fusion; strapdown accelerometer; velocity estimation; Acceleration; Accelerometers; Aircraft; Angular velocity; Gyroscopes; Magnetic sensors; Magnetic separation; Position measurement; Sensor systems; Velocity measurement; Attitude Determination System; Estimation; Filtering; Information Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.108
Filename :
5170744
Link To Document :
بازگشت