Extraction of the Resonant Parameters for Surface Acoustic Wave Resonators: ANNs 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 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.