A Noise Reduction Method for Dual-Mass Micro-Electromechanical Gyroscopes Based on Sample Entropy Empirical Mode Decomposition and Time-Frequency Peak Filtering

A Noise Reduction Method for Dual-Mass Micro-Electromechanical Gyroscopes Based on Sample Entropy Empirical Mode Decomposition and Time-Frequency Peak Filtering

The different noise components in a dual-mass micro-electromechanical system (MEMS) gyroscope structure is analyzed in this paper, including mechanical-thermal noise (MTN), electronic-thermal noise (ETN), flicker noise (FN) and Coriolis signal in-phase noise (IPN). The structure equivalent electroni...

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Bibliographic Details
Main Authors: Chong Shen, Jie Li, Xiaoming Zhang, Yunbo Shi, Jun Tang, Huiliang Cao, Jun Liu
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sensors
Subjects:
dual-mass MEMS gyroscope
noise reduction
sample entropy
empirical mode decomposition
time-frequency peak filtering
Online Access:http://www.mdpi.com/1424-8220/16/6/796

Internet

http://www.mdpi.com/1424-8220/16/6/796

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