Abstract
In recent years, High-G MEMS accelerometers have been widely used in aviation, medicine, and other fields. So it is extremely important to improve the accuracy and performance of High-G MEMS accelerometers. For this purpose, we propose a fusion algorithm that combines EMD, wavelet thresholding, and temperature compensation to process measurement data from a High-G MEMS accelerometer. In the fusion algorithm, the original accelerometer signal is first decomposed by EMD to obtain the intrinsic mode function (IMF). Then, sample entropy (SE) is used to divide the IMF components into three segments. The noise segment is directly omitted, wavelet thresholding is performed on the mixing segment, and a GA-BP performs temperature compensation on the drift segment. Finally, signal reconstruction is implemented. Later, a comparative analysis is carried out on the results from four models: EMD, wavelet thresholding, EMD + wavelet thresholding, and EMD + wavelet thresholding + temperature compensation. The experimental data show that the acceleration random walk change from 1712.66 g/h/Hz0.5 to 79.15 g/h/Hz0.5 and the zero-deviation stability change from 49275 g/h to 774.7 g/h. This indicates that the fusion algorithm (EMD + wavelet thresholding + temperature compensation) not only effectively suppresses the noise of high-frequency components but also compensates for temperature drift in the accelerometer.
Highlights
MEMS accelerometers are fabricated using MEMS technology [1]. e High-G MEMS accelerometer is a general term for high-range accelerometers
We develop a fusion algorithm that combines Empirical Mode Decomposition (EMD) with wavelet thresholding and temperature compensation. is algorithm is used to process measurement data from a MEMS accelerometer
We introduce the structure and working principle of a High-G MEMS accelerometer and develop a fusion algorithm. e article is divided into five sections. e algorithm is described in Section 2; an introduction to accelerometers is presented in Section 3; the temperature experiment is described in Section 4 along with an analysis of the experimental results; and the final section serves as the conclusion
Summary
MEMS accelerometers are fabricated using MEMS technology [1]. e High-G MEMS accelerometer is a general term for high-range accelerometers. Hardware compensation generally improves the accuracy of the accelerometer by changing the material, process, structure, and working environment of the accelerometer. E temperature error compensation model that has been developed by numerical analysis of test data for MEMS accelerometers is economical and practical. It is a part of a current research trend. Temperature compensation can improve the accuracy of an accelerometer and its output signal [12, 13] For this purpose, we develop a fusion algorithm that combines EMD with wavelet thresholding and temperature compensation. Is indicates that the fusion algorithm effectively suppresses the noise of high-frequency components and compensates for temperature drift in the accelerometer. We introduce the structure and working principle of a High-G MEMS accelerometer and develop a fusion algorithm. e article is divided into five sections. e algorithm is described in Section 2; an introduction to accelerometers is presented in Section 3; the temperature experiment is described in Section 4 along with an analysis of the experimental results; and the final section serves as the conclusion
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