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
Link To Document :
بازگشت