Development and Validation of an ANN-Based Approach for Temperature-Dependent Equivalent Circuit Modeling of SAW Resonators
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Published:2023-04-28
Issue:5
Volume:14
Page:967
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ISSN:2072-666X
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Container-title:Micromachines
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language:en
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Short-container-title:Micromachines
Author:
Radojković Miloš1, Gugliandolo Giovanni2ORCID, Latino Mariangela2, Marinković Zlatica1ORCID, Crupi Giovanni3ORCID, Donato Nicola2ORCID
Affiliation:
1. Faculty of Electronic Engineering, University of Niš, 18000 Niš, Serbia 2. Department of Engineering, University of Messina, 98166 Messina, Italy 3. BIOMORF Department, University of Messina, 98125 Messina, Italy
Abstract
In this paper, a novel approach is proposed for modeling the temperature-dependent behavior of a surface acoustic wave (SAW) resonator, by using a combination of a lumped-element equivalent circuit model and artificial neural networks (ANNs). More specifically, the temperature dependence of the equivalent circuit parameters/elements (ECPs) is modeled using ANNs, making the equivalent circuit model temperature-dependent. The developed model is validated by using scattering parameter measurements performed on a SAW device with a nominal resonant frequency of 423.22 MHz and under different temperature conditions (i.e., from 0 °C to 100 °C). The extracted ANN-based model can be used for simulation of the SAW resonator RF characteristics in the considered temperature range without the need for further measurements or equivalent circuit extraction procedures. The accuracy of the developed ANN-based model is comparable to that of the original equivalent circuit model.
Funder
Ministry of the Technological Development, Science and Innovations, Republic of Serbia
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering
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