A Data Fusion Algorithm Based on Weighted Least Square for Agile Projectile´s Attitude Determination

Author

Wang, Yong ; Liu, Zhide ; Chen, Jiabin ; Song, Chunlei ; Wang, Jun

Author_Institution

Sch. of Autom., Beijing Inst. of Technol., Beijing, China

fYear

2009

fDate

28-29 Dec. 2009

Firstpage

154

Lastpage

157

Abstract

In this paper, a data fusion algorithm based on weighted least square is proposed to determine the attitude of low-rotary agile projectile. Three micro electro-mechanical system (MEMS) accelerometers are used as strapdown inertial measurement units (IMUs), and the unscented Kalman filter is used to directly estimate attitude of projectile by gravity components of measurement values of three accelerometers. The attitude estimation by three accelerometers is fused with the estimation by using three MEMS gyroscopes based on weighted least square. Experimental results on the three-axis flight test rotary table show the proposed data fusion algorithm effectively improves the precision of attitude estimation and stability of attitude determination system.

Keywords

Kalman filters; accelerometers; attitude measurement; gyroscopes; microsensors; projectiles; sensor fusion; weapons; Kalman filter; MEMS gyroscopes; agile projectile attitude determination; attitude estimation; data fusion algorithm; low-rotary agile projectile; microelectromechanical system accelerometers; strapdown inertial measurement units; system stability; three-axis flight test rotary table; weighted least square; Accelerometers; Gravity; Gyroscopes; Least squares approximation; Least squares methods; Measurement units; Micromechanical devices; Position measurement; Projectiles; System testing; attitude determination; data fusion; unscented Kalman filter; weighted least square;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3901-0

Electronic_ISBN

978-1-4244-5400-6

Type

conf

DOI

10.1109/WNIS.2009.28

Filename

5381873