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

• Published in: Measurement Science Review
• Main Authors: Wang Xiaolei, Cao Huiliang, Jiao Yuzhao, Lou Taishan, Ding Guoqiang, Zhao Hongmei, Duan Xiaomin
• Format: Article
• Language: English
• Published: Sciendo 2021-02-01
• Subjects: mems gyroscope; variational mode decomposition; denoising; frequency band
• Online Access: https://doi.org/10.2478/msr-2021-0003
• ISSN: 1335-8871

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.