Dynamic Performance Comparison of Two Kalman Filters for Rate Signal Direct Modeling and Differencing Modeling for Combining a MEMS Gyroscope Array to Improve Accuracy

Dynamic Performance Comparison of Two Kalman Filters for Rate Signal Direct Modeling and Differencing Modeling for Combining a MEMS Gyroscope Array to Improve Accuracy

In this paper, the performance of two Kalman filter (KF) schemes based on the direct estimated model and differencing estimated model for input rate signal was thoroughly analyzed and compared for combining measurements of a sensor array to improve the accuracy of microelectromechanical system (MEMS...

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Bibliographic Details
Main Authors: Guangmin Yuan, Weizheng Yuan, Liang Xue, Jianbing Xie, Honglong Chang
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Sensors
Subjects:
MEMS gyroscope
Kalman filtering
sensor array
direct model
differencing model
performance comparison
optimal estimation
Online Access:http://www.mdpi.com/1424-8220/15/11/27590

Internet

http://www.mdpi.com/1424-8220/15/11/27590

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