Abstract
To reduce the impact of acoustic interference in a microelectromechanical system (MEMS) gyroscope and to improve the reliability of output data, a filtering algorithm based on orthogonal demodulation is proposed. According to the working principle and failure mechanism of a MEMS gyroscope, the sound and angular velocity frequencies are not identical, which lead to a different frequency signal output of the original single-channel demodulation scheme. Therefore, a Q channel demodulation filtering process was added to the origin single-channel demodulation scheme. For the Q channel demodulated signal, a Hilbert transform was used to compensate for the 90 degree phase shift. The IQ dual-channel difference can remove the acoustic interference signal. The simulation results indicate that the scheme can effectively suppress the acoustic interference signal and it can eliminate more than 95% of the impact of sound waves. We assembled the acoustic interference experimental platform, collected the driving and sensing data, and verified the denoising performance with our algorithm, which eliminated more than 70% of the noise signal. The simulation and experimental results demonstrate that the scheme can eliminate acoustic interference signal without destroying angular velocity signal.
Highlights
A microelectromechanical system (MEMS) gyroscope is a type of sensor that is used to measure angular velocity
The structure of the remainder of the article is as follows: In Section 2, we analyze the working principle and failure mechanism of a MEMS gyroscope using dynamic equations; in Section 3, we show our filtering algorithm based on orthogonal demodulation; in Sections 4 and 5, we present the theoretical simulation results based on the dynamic equations and the output results of the algorithm with the collected data as the input; and in Section 6, we explain some details of the scheme and propose an acoustic warning scheme based on orthogonal demodulation
By solving the dynamic equations of the MEMS gyroscope in the acoustic environment, we can obtain the sensing displacement data, which are imported into the algorithm as the input
Summary
A microelectromechanical system (MEMS) gyroscope is a type of sensor that is used to measure angular velocity. It is widely used because it is small in size, lightweight, low cost, and has low power consumption [1,2,3,4]. It has a fixed resonant frequency, the driving frequency in the direction of the driving shaft and the sensing frequency in the direction of the sensing shaft. It is necessary to take measures to suppress the acoustic interference effect
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