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	The Study of the MEMS Gyro Zero Drift Signal Based on the Adaptive Kalman Filter
	Chen Wei-cao ; Gao Guo-wei ; Wang Juan ; Liu Li-li ; Li Xi-lin
	2012
关键词	MEMS gyro Zero drift Time series analysis AR model Adaptive Kalman Filter
英文摘要	The random noise is an important factor that affects the precision of the MEMS gyroscope. Based on the time-series analysis method, the AR model of the MEMS gyro drift signal is established. Then the adaptive Kalman filter is used to filter the drift signal. Comparison the original signal and the signal filtered by the adaptive Kalman filter, we found that the adaptive Kalman filter has the good filtering effect in the processing the zero drift signal of the MEMS gyro.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000306578400110&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Materials Science, Multidisciplinary; Optics; Physics, Applied; CPCI-S(ISTP); 1
语种	英语
DOI标识	10.4028/www.scientific.net/KEM.500.635
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/391407]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Chen Wei-cao,Gao Guo-wei,Wang Juan,et al. The Study of the MEMS Gyro Zero Drift Signal Based on the Adaptive Kalman Filter. 2012-01-01.

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