A Filtering Algorithm of MEMS Gyroscope to Resist Acoustic Interference.

Area of Science:

• Engineering
• Signal Processing
• Sensor Technology

Background:

• Microelectromechanical system (MEMS) gyroscopes are susceptible to acoustic interference, degrading output data reliability.
• Existing single-channel demodulation schemes struggle to differentiate between acoustic noise and angular velocity signals due to differing frequencies.

Purpose of the Study:

• To propose and validate a novel filtering algorithm to mitigate acoustic interference in MEMS gyroscopes.
• To improve the accuracy and reliability of MEMS gyroscope output data in noisy environments.

Main Methods:

• Implementation of an orthogonal demodulation filtering algorithm incorporating a Q channel.
• Utilizing a Hilbert transform for phase shift compensation in the Q channel signal.
• Employing an IQ dual-channel difference method to isolate and remove acoustic interference.

Main Results:

• Simulations demonstrated effective suppression of acoustic interference, eliminating over 95% of sound wave impact.
• Experimental validation showed the algorithm removed over 70% of noise signals from collected data.
• The proposed method successfully eliminated acoustic interference without corrupting the essential angular velocity signal.

Conclusions:

• The orthogonal demodulation filtering algorithm offers a robust solution for acoustic interference in MEMS gyroscopes.
• This technique significantly enhances the reliability and accuracy of MEMS gyroscope measurements.
• The findings support the practical application of this algorithm in improving sensor performance.