Title :
Kalman filtering of MEMS gyro based on time-series model
Author :
PeiPei, Yang ; Qing, Li
Author_Institution :
Inst. of Intell. Control, Univ. of Beijing Inf. Sci.&Technol., Beijing, China
Abstract :
The algorithms and the applications of Kalman filtering of MEMS Gyro based on time-series model are presented in this paper. Gyro signals are preprocessed and modeled by time-series analysis theory to filter by Kalman filtering method. Then the signal is filtered after Kalman filter. Examples with actual experiment demonstrate that the method has apparent superiority. The results of the simulation indicate valid and practical on Kalman filtering of MEMS Gyro. This method can also be used to process the output signal of other kinds of Gyros.
Keywords :
Kalman filters; gyroscopes; microsensors; time series; Kalman filtering; MEMS gyro signal preprocessing; time-series model; Equations; Filtering algorithms; Filtering theory; Information filtering; Information filters; Kalman filters; Micromechanical devices; Random processes; State estimation; Time series analysis; MEMS Gyro; kalman filtering; time-series model;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274567
