DocumentCode
3544916
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
fYear
2009
fDate
16-19 Aug. 2009
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2009.5274567
Filename
5274567
Link To Document