<abstract xmlns="http://www.w3.org/1999/xhtml">

The noise signal in the gyroscope is divided into four levels: sampling frequency level, device bandwidth frequency level, resonant frequency level, and carrier frequency level. In this paper, the signal in the dual-mass MEMS gyroscope is analyzed. Based on the variational mode decomposition (VMD) algorithm, a novel dual-mass MEMS gyroscope noise reduction method is proposed. The VMD method with different four-level center frequencies is used to process the original output signal of the MEMS gyroscope, and the results are analyzed by the Allan analysis of variance, which shows that the ARW of the gyroscope is increased from 1.998*10−1°/√h to 1.552*10−4°/√h, BS increased from 2.5261°/h to 0.0093°/h.
</abstract>

The noise signal in the gyroscope is divided into four levels: sampling frequency level, device bandwidth frequency level, resonant frequency level, and carrier frequency level. In this paper, the signal in the dual-mass MEMS gyroscope is analyzed. Based on the variational mode decomposition (VMD) algorithm, a novel dual-mass MEMS gyroscope noise reduction method is proposed. The VMD method with different four-level center frequencies is used to process the original output signal of the MEMS gyroscope, and the results are analyzed by the Allan analysis of variance, which shows that the ARW of the gyroscope is increased from 1.998*10−1°/√h to 1.552*10−4°/√h, BS increased from 2.5261°/h to 0.0093°/h.

Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope

National Key Laboratory for Electronic Measurement Technology

University of Electronic Science and Technology of China

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The noise signal in the gyroscope is divided into four levels: sampling frequency level, device bandwidth frequency level, resonant frequency level, and...

Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope

Online veröffentlicht: 30. März 2021

Seitenbereich: 19 - 24

Eingereicht: 29. Dez. 2020

Akzeptiert: 26. Feb. 2021

DOI: https://doi.org/10.2478/msr-2021-0003

Schlüsselwörter
MEMS gyroscope, variational mode decomposition, denoising, frequency band

© 2021 Xiaolei Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope

Online veröffentlicht: 30. März 2021

Seitenbereich: 19 - 24

Eingereicht: 29. Dez. 2020

Akzeptiert: 26. Feb. 2021

DOI: https://doi.org/10.2478/msr-2021-0003

SchlüsselwörterMEMS gyroscope, variational mode decomposition, denoising, frequency band

© 2021 Xiaolei Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
MEMS gyroscope, variational mode decomposition, denoising, frequency band