DocumentCode
2629722
Title
Experimental Research on Multi-scale Particle filtering of MEMS Gyroscope
Author
Hong-Feng, Gao ; Ya-Fei, Ren
Author_Institution
Electron. & Inf. Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
Volume
6
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
628
Lastpage
631
Abstract
MEMS gyroscope is a kind of micro electro-mechanical integrative system, which can survey the direction of carrier very conveniently, but the zero-bias stability is the enormous limit of gyroscope performance. In the first section of this paper wavelet analysis and multi-scale analysis has been introduced and compared, and then we applied multi-scale analysis to particle filtering, eventually the method of multi-scale particle filtering was invented. The conflict between particle density and interval was well solved since particle was produced in dynamic interval by this method which both extended particle interval and increased its density. The experimental result indicated that, this method quite is simple and practical feasible way, and may obviously enhance the zero-bias stability of MEMS gyroscope.
Keywords
electrical engineering computing; gyroscopes; micromechanical devices; particle filtering (numerical methods); wavelet transforms; MEMS gyroscope; multiscale analysis; multiscale particle filtering; particle density; wavelet analysis; zero-bias stability; 1f noise; Circuit noise; Filtering; Frequency modulation; Frequency synthesizers; Gyroscopes; Low-frequency noise; Micromechanical devices; Probability distribution; Stability; MEMS Gyroscope; Multi-scale Analysis; Particle Filtering; Zero-bias Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.686
Filename
5170777
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