A capacitive-piezoelectric hybrid MEMS microphone with signal fusion for enhancing signal-to-noise ratio

This work describes a hybrid micro-electro-mechanical-systems (MEMS) microphone integrating capacitive and piezoelectric transduction mechanisms for signal-to-noise ratio (SNR) improvement. A theoretical system-level model was established to characterize the hybrid device, which was fabricated using a silicon-on-insulator (SOI) wafer-based process. The piezoelectric transduction component employs a Si/SiO2/Au/AlN/Pt material stack, while the capacitive transduction part consists of a variable capacitor formed by a silicon handle layer and a silicon device layer. Experimental results at 1 kHz show that the hybrid MEMS microphone achieves sensitivities of -64.3 dB (re: 1 V/Pa) in piezoelectric mode, -54.9 dB (re: 1 V/Pa) in capacitive mode, and -52.4 dB (re: 1 V/Pa) in hybrid mode, with corresponding SNR values of 65.7 dB, 59.8 dB, and 62.2 dB, respectively. To enhance the overall SNR of the hybrid MEMS microphone, a signal fusion technique is applied to the dual synchronized signals, resulting in an enhanced SNR of 66.7 dB, exhibiting a 14.1 dB improvement compared to the 52.6 dB reported in previous work.

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Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-04-16
DOI
https://doi.org/10.1038/s41378-026-01251-y
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A capacitive-piezoelectric hybrid MEMS microphone with signal fusion for enhancing signal-to-noise ratio

Michael Schneider, Christ Glorieux, Sina Sadeghpour, Huicong Liu et al.
Microsystems & Nanoengineering
Advanced MEMS and NEMS Technologies
article

A capacitive-piezoelectric hybrid MEMS microphone with signal fusion for enhancing signal-to-noise ratio

Michael Schneider, Christ Glorieux, Sina Sadeghpour, Huicong Liu, Hemin Zhang, Jing Mi, Michael Kraft, Dongsheng Li, Yangyang Guan, Alexander Bertrand
article en

Abstract

This work describes a hybrid micro-electro-mechanical-systems (MEMS) microphone integrating capacitive and piezoelectric transduction mechanisms for signal-to-noise ratio (SNR) improvement. A theoretical system-level model was established to characterize the hybrid device, which was fabricated using a silicon-on-insulator (SOI) wafer-based process. The piezoelectric transduction component employs a Si/SiO2/Au/AlN/Pt material stack, while the capacitive transduction part consists of a variable capacitor formed by a silicon handle layer and a silicon device layer. Experimental results at 1 kHz show that the hybrid MEMS microphone achieves sensitivities of -64.3 dB (re: 1 V/Pa) in piezoelectric mode, -54.9 dB (re: 1 V/Pa) in capacitive mode, and -52.4 dB (re: 1 V/Pa) in hybrid mode, with corresponding SNR values of 65.7 dB, 59.8 dB, and 62.2 dB, respectively. To enhance the overall SNR of the hybrid MEMS microphone, a signal fusion technique is applied to the dual synchronized signals, resulting in an enhanced SNR of 66.7 dB, exhibiting a 14.1 dB improvement compared to the 52.6 dB reported in previous work.

Microsystems & NanoengineeringVol. 12(1)
TU Wien (AT), Northwestern Polytechnical University (CN), Soochow University (CN), Southeast University (CN), KU Leuven (BE)
National Natural Science Foundation of China, Government of Jiangsu Province, China Scholarship Council, Natural Science Foundation of Jiangsu Province, State Key Laboratory of Precision Measurement Technology and Instruments
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced MEMS and NEMS Technologies
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