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An Analog Readout Circuit With a Noise-Reduction Input Buffer for MEMS Microphone

Zhiming Li, Lei Dong, Hao Li, Jie Zhang, Xiaofei Wang, Hong Zhang

2022IEEE Transactions on Circuits & Systems II Express Briefs11 citationsDOI

Abstract

This brief presents a programmable-gain analog readout circuit with a noise-reduction input buffer for single-ended micro-electro-mechanical-system (MEMS) microphone sensors, aiming at applications requiring low cost and high SNR. An internal feedback path is adopted in the source-follower-based input buffer to suppress the noise contribution from its bias circuit, while improve the linearity and power supply rejection ratio (PSRR). In addition, another feedback path taking advantage of the readout circuit’s high-voltage bias output for the MEMS sensor is employed to realize an effective gain of larger than unity for the input buffer, which can suppress the noise contribution of the programmable capacitive-feedback preamplifier. Fabricated in a 0.18- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology, the proposed readout circuit achieves a 3.7- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula> Vrms (A-weighted) input-referred noise. After packaged with a commercial MEMS microphone sensor, the overall system achieves an A-weighted SNR of 66 dBA, an acoustic overload point (AOP) of 119.5 dB sound pressure level (SPL) and a PSRR of 68 dB@1kHz. The readout chip consumes 115 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula> under a 2-V power supply and occupies an active area of 0.25mm2.

Topics & Concepts

Buffer (optical fiber)MicrophoneNoise reductionNoise (video)Reduction (mathematics)Computer scienceElectrical engineeringElectronic engineeringAcousticsEngineeringPhysicsMathematicsArtificial intelligenceLoudspeakerGeometryImage (mathematics)Analog and Mixed-Signal Circuit DesignAdvanced MEMS and NEMS TechnologiesCCD and CMOS Imaging Sensors
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