High-Accuracy Dry-Bulb Temperature Sensing with Short-Time Fourier Transform (STFT) Using PSON pMUTs

High-Accuracy Dry-Bulb Temperature Sensing with Short-Time Fourier Transform (STFT) Using PSON pMUTs

2023 IEEE SENSORS

10.1109/SENSORS56945.2023.10324890

http://dx.doi.org/10.1109/sensors56945.2023.10324890

Mantalena Sarafianou, Nai L. Hii, David S. W. Choong, Duan J. Goh, Yul Koh

28 November 2023

Sarafianou, M., Hii, N. L., Choong, D. S. W., Goh, D. J., & Koh, Y. (2023, October 29). High-Accuracy Dry-Bulb Temperature Sensing with Short-Time Fourier Transform (STFT) Using PSON pMUTs. 2023 IEEE SENSORS. https://doi.org/10.1109/sensors56945.2023.10324890

This paper presents the methodology for estimating the temperature in moist air, known as dry-bulb temperature, using Piezoelectric over Silicon-On-Nothing (PSON) ScAlN pMUTs based on Short-Time Fourier Transform (STFT). A digital signal processing technique is proposed for the Time-of-Flight (ToF) estimation based on STFT with the estimated ToF value used to compute the ultrasonic speed of sound. Experimental results presented here report a mean accuracy of 95% in the estimated dry-bulb temperature. This is a very positive outcome towards the usage of the proposed signal processing algorithm along with standard PSON pMUTs for sensing temperature in a moist environment.

Publisher Copyright

This research / project is supported by the A*STAR - Nanosystems at the Edge
Grant Reference no. : A18A4b0055

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https://oar.a-star.edu.sg/communities-collections/articles/20356

1558-1748

Institute of Microelectronics