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

Authors

  • Xiaolei Wang College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Dongfeng Road, No.5, Zhengzhou 450002, China
  • Huiliang Cao National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Xueyuan Road, No.3, Taiyuan 030051, China
  • Yuzhao Jiao College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Dongfeng Road, No.5, Zhengzhou 450002, China
  • Taishan Lou College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Dongfeng Road, No.5, Zhengzhou 450002, China
  • Guoqiang Ding College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Dongfeng Road, No.5, Zhengzhou 450002, China
  • Hongmei Zhao College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Dongfeng Road, No.5, Zhengzhou 450002, China
  • Xiaomin Duan School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

DOI:

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

Keywords:

MEMS gyroscope, variational mode decomposition, denoising, frequency band

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.

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Published

30.03.2021

How to Cite

Wang, X., Cao, H., Jiao, Y., Lou, T., Ding, G., Zhao, H., & Duan, X. (2021). Research on Novel Denoising Method of Variational Mode Decomposition in MEMS Gyroscope. Measurement Science Review, 21(1), 19–24. https://doi.org/10.2478/msr-2021-0003

Issue

Vol. 21 No. 1 (2021): Measurement Science Review

Section

Articles

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