Neural Modeling of the Surface Acoustic Wave Resonator Admittance Parameters

Abstract

Surface acoustic wave (SAW) resonators have found applications in different engineering fields, spanning from telecommunications to bioengineering. In this paper a model of a SAW resonator based on the artificial neural networks (ANNs) is proposed. ANNs are exploited to model the frequency dependence of the admittance parameters for a two-port packaged SAW resonator with a nominal resonant frequency of 423.2 MHz.