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https://doi.org/10.48441/4427.763
Publisher DOI: | 10.3390/s23052774 | Title: | Near-ultrasonic transfer function and SNR of differential MEMS microphones suitable for photoacoustics | Language: | English | Authors: | Falkhofen, Judith Wolff, Marcus |
Editor: | Lázaro, Antonio | Keywords: | deconvolution; MEMS microphones; photoacoustic spectroscopy; sensitivity; SNR; ultrasound | Issue Date: | 3-Mar-2023 | Publisher: | MDPI | Journal or Series Name: | Sensors | Volume: | 23 | Issue: | 5 | 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. |
URI: | http://hdl.handle.net/20.500.12738/13691 | DOI: | 10.48441/4427.763 | ISSN: | 1424-8220 | Review status: | This version was peer reviewed (peer review) | Institute: | Department Maschinenbau und Produktion Fakultät Technik und Informatik Heinrich-Blasius-Institut für Physikalische Technologien |
Type: | Article | Additional note: | Falkhofen, J.; Wolff, M. Near-Ultrasonic Transfer Function and SNR of Differential MEMS Microphones Suitable for Photoacoustics. Sensors 2023, 23, 2774, https://doi.org/10.3390/s23052774. The APC was funded by Hamburg University of Applied Sciences. | Funded by: | Hochschule für Angewandte Wissenschaften Hamburg |
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