DocumentCode
3137926
Title
Stochastic and dynamic modeling of MEMS gyroscopes
Author
Wang, Yandong
Author_Institution
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
2553
Lastpage
2557
Abstract
The paper introduce two methods to identify the MEMS gyroscope, Allan variance method and AR(n) model. Both the method has broadly used in engineering. Through the two method, the statistical mathematical properties and dynamic system properties of MEMS gyroscope are proclaimed.
Keywords
gyroscopes; microsensors; stochastic processes; AR(n) model; Allan variance method; MEMS gyroscopes; dynamic modeling; stochastic modeling; Analytical models; Data models; Gyroscopes; Mathematical model; Micromechanical devices; White noise; ARMA; Allan variance; Burg Algorithm; MEMS gyroscope;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1275-2
Type
conf
DOI
10.1109/ICMA.2012.6285749
Filename
6285749
Link To Document