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
Link To Document :
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