Near-Ultrasonic Transfer Function and SNR of Differential MEMS Microphones Suitable for Photoacoustics

Author:

Falkhofen Judith12,Wolff Marcus1ORCID

Affiliation:

1. Heinrich Blasius Institute of Physical Technologies, Hamburg University of Applied Sciences, 20099 Hamburg, Germany

2. School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Scotland High Street, Paisley PA1 2BE, UK

Abstract

Can ordinary Micro-Electro-Mechanical-Systems (MEMS) microphones be used for near-ultrasonic applications? Manufacturers often provide little information about the signal-to-noise ratio (SNR) in the ultrasound (US) range and, if they do, the data are often determined in a manufacturer-specific manner and are generally not comparable. Here, four different air-based microphones from three different manufacturers are compared with respect to their transfer functions and noise floor. The deconvolution of an exponential sweep and a traditional calculation of the SNR are used. The equipment and methods used are specified, which makes it easy to repeat or expand the investigation. The SNR of MEMS microphones in the near US range is mainly affected by resonance effects. These can be matched for applications with low-level signals and background noise such that the highest possible SNR can be achieved. Two MEMS microphones from Knowles performed best for the frequency range from 20 to 70 kHz; above 70 kHz, an Infineon model delivered the best performance.

Funder

Open Access Publication Fund of Hamburg University of Applied Sciences

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference16 articles.

1. Palzer, S. (2020). Photoacoustic-based gas sensing: A review. Sensors, 20.

2. Walser, S. (2017). Programmierbare Kapazitive MEMS-Mikrofone. [Ph.D. Thesis, University of the German Federal Armed Forces].

3. Determination of frequency response of MEMS microphone from sound field measurements using optical phase-shifting interferometry method;Hermawanto;Elsevier Sci. Direct Appl. Acoust.,2020

4. Zawaw, S.A., Hamzah, A.A., Majlis, B.Y., and Mohd-Yasin, F. (2020). A Review of MEMS Capacitive Microphones. Mircomachines, 11.

5. Review MEMS Ultrasound Transducers for Endoscopic Photoacoustic Imaging Applications;Wang;Mircomachines,2020

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