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Open AccessArticle

Noise Reduction for MEMS Gyroscope Signal: A Novel Method Combining ACMP with Adaptive Multiscale SG Filter Based on AMA

1
State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Weijin Road, Tianjin 300072, China
2
Science and Technology on Electro-Optic Control Laboratory, Luoyang Institute of Electro-Optic Equipment, Luoyang 471000, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(20), 4382; https://doi.org/10.3390/s19204382
Received: 30 July 2019 / Revised: 6 October 2019 / Accepted: 8 October 2019 / Published: 10 October 2019
(This article belongs to the Section Physical Sensors)
In this paper, a novel hybrid method combining adaptive chirp mode pursuit (ACMP) with an adaptive multiscale Savitzky–Golay filter (AMSGF) based on adaptive moving average (AMA) is proposed for offline denoising micro-electromechanical system (MEMS) gyroscope signal. The denoising scheme includes preliminary denoising and further denoising. At the preliminary denoising stage, the original gyroscope signal is decomposed into signal modes one by one using ACMP with modified stopping criterion based on mutual information. Useful information is extracted while most noise is discarded in the residue at this stage. Then, AMSGF is proposed to further denoise the signal modes. Sample variance based on AMA is used to adjust the window size of AMSGF adaptively. Practical MEMS gyroscope signal denoising results under different motion conditions show the superior performance of the proposed method over empirical mode decomposition (EMD)-based denoising, discrete wavelet threshold denoising, and variational mode decomposition (VMD)-based denoising. Moreover, AMSGF is proven to gain a better denoising effect than some other common smoothing methods.
Keywords: signal denoising; adaptive chirp mode pursuit; mutual information; adaptive multiscale Savitzky–Golay filter signal denoising; adaptive chirp mode pursuit; mutual information; adaptive multiscale Savitzky–Golay filter
MDPI and ACS Style

He, J.; Sun, C.; Wang, P. Noise Reduction for MEMS Gyroscope Signal: A Novel Method Combining ACMP with Adaptive Multiscale SG Filter Based on AMA. Sensors 2019, 19, 4382.

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