Extraction of the Resonant Parameters for Surface Acoustic Wave Resonators: ANN s versus Lorentzian Fitting Method

In this paper, two approaches for modeling the frequency-dependent behavior of surface acoustic wave (SAW) resonators and thus for extracting the resonant characteristics have been compared in terms of accuracy and complexity. The two contrasted modeling procedures are based on using artificial neur...

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Bibliographic Details
Main Authors: Marinkovic, Z., Gugliandolo, G., Campobello, G., Crupi, G., Donato, N.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Fitting
Resonant frequency
Surface acoustic wave devices
Surface acoustic waves
Temperature dependence
Temperature measurement
Online Access:Request full text
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Summary:In this paper, two approaches for modeling the frequency-dependent behavior of surface acoustic wave (SAW) resonators and thus for extracting the resonant characteristics have been compared in terms of accuracy and complexity. The two contrasted modeling procedures are based on using artificial neural networks (ANNs) and Lorentzian fitting. The two approaches have been applied to four commercial SAW resonators. Although having certain differences, both approaches exhibit a good accuracy in determining the device resonant characteristics.
ISSN:2159-1679
DOI:10.1109/MIEL52794.2021.9569157