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Feedthrough effect in MEMS gyroscopes and fully differential feedthrough cancellation method.

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This study introduces a novel feedthrough cancellation method for Micro-Electro-Mechanical Systems (MEMS) gyroscopes. The new technique significantly improves signal quality by reducing unwanted feedthrough signals, enhancing gyroscope performance.

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Area of Science:

  • Electrical Engineering
  • Mechanical Engineering
  • Sensor Technology

Background:

  • Feedthrough signals in MEMS gyroscopes, caused by feedthrough capacitance, degrade performance.
  • Existing cancellation methods often rely on fabrication processes and structural symmetry, limiting effectiveness.

Purpose of the Study:

  • To propose and validate a new feedthrough cancellation method for MEMS gyroscopes.
  • To analyze the feedthrough effect using equivalent circuit and admittance diagrams.
  • To improve the signal-to-noise ratio and overall signal quality of MEMS gyroscopes.

Main Methods:

  • Developed a fully differential configuration for feedthrough cancellation.
  • Incorporated two inverse feedthrough cancellation circuits to adjust for path asymmetry.
  • Analyzed feedthrough influence using equivalent circuit models and admittance diagrams.
  • Compared different drive and detection configurations to address path mismatch.

Main Results:

  • Achieved significant suppression of feedthrough signals, reducing the feedthrough level by 50.53 dB.
  • Increased the amplitude of the effective signal from 4.10 to 9.46 dB.
  • Improved the signal-to-noise ratio by 212.48% compared to pre-cancellation levels.

Conclusions:

  • The proposed fully differential feedthrough cancellation method effectively mitigates interference.
  • This approach enhances MEMS gyroscope performance by improving signal quality.
  • The method offers a robust solution independent of microfabrication process limitations.