DocumentCode
174674
Title
An effective unscented Kalman filter for state estimation of a gyro-free inertial measurement unit
Author
Chaojun Liu ; Shuai Yu ; Shengzhi Zhang ; Xuebing Yuan ; Sheng Liu
Author_Institution
Sch. of Mech. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2014
fDate
5-8 May 2014
Firstpage
230
Lastpage
235
Abstract
This study reports a gyro-free inertial measurement unit (IMU) using solely four triaxial accelerometers. System equations and a configuration which is feasible for the gyro-free IMU design are presented. The propagation of accelerometer measurement errors is analyzed. An unscented Kalman filter (UKF) is proposed for state estimation. Simulation results show that the system state is robustly estimated by the proposed UKF. Furthermore, compared with the results of error analysis, the UKF provides effective error reductions on state estimation. The error of angular velocity estimation over full scale (FS) is about ±0.4%FS.
Keywords
Kalman filters; accelerometers; error analysis; gyroscopes; inertial navigation; nonlinear filters; sensor fusion; FS; UKF; accelerometer measurement error propagation; angular velocity estimation; full scale; gyrofree IMU design; gyrofree inertial measurement unit; triaxial accelerometers; unscented Kalman filter; Acceleration; Accelerometers; Angular velocity; Force; State estimation; Vectors; accelerometer configuration; error analysis; gyro-free inertial measurement unit; state estimation; unscented Kalman filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
Conference_Location
Monterey, CA
Print_ISBN
978-1-4799-3319-8
Type
conf
DOI
10.1109/PLANS.2014.6851380
Filename
6851380
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