Projecte llegit
Títol: Nonlinear characterization of electroacoustic devices
Estudiants que han llegit aquest projecte:
BALUST MARTÍNEZ, ALEIX (data lectura: 18-07-2025)- Cerca aquest projecte a Bibliotècnica
BALUST MARTÍNEZ, ALEIX (data lectura: 18-07-2025)- Cerca aquest projecte a Bibliotècnica


Director/a: COLLADO GÓMEZ, CARLOS
Departament: TSC
Títol: Nonlinear characterization of electroacoustic devices
Data inici oferta: 29-01-2025 Data finalització oferta: 31-01-2025
Estudis d'assignació del projecte:
DG ENG AERO/SIS TEL
Tipus: Individual | |
Lloc de realització: EETAC | |
Segon director/a (UPC): MATEU MATEU, JORDI | |
Paraules clau: | |
Resonators, Electroacoustics, BAW, SAW, Nonlinearity | |
Descripció del contingut i pla d'activitats: | |
- Measurement of electroacoustic resonators and filters
- Data processing and measurement de-embedding - Prediction of Non-linear behavior through distributed and lumped models - Development of Fast Fourier Transform implementation in lumped models - Characterization for power sweeps - Simulation of non-linearities under multitone and pseudo-LTE signal conditions |
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Overview (resum en anglès): | |
This thesis presents a comprehensive nonlinear characterization of Low-loss Resonator Technology Surface Acoustic Wave (LRT-SAW) resonators, with a focus on modeling, measurement, and parameter extraction. The work is motivated by the increasing demands of modern wireless communication systems, including 5G, satellite, and aerospace applications, where miniaturization, reliability, and performance are critical. Acoustic Wave (AW) resonators are essential for front-end filtering due to their compactness and efficiency. However, their nonlinear behavior, manifested as harmonics (H) and intermodulation distortion (IMD), poses significant challenges for top-notch Radio Frequency (RF) systems.
The project's primary objectives include developing a MATLAB-based user interface for extracting nonlinear simulation parameters from measured data, implementing optimization algorithms into the nonlinear characterization process, formulating a de-embedding methodology to isolate device response from measurement system artifacts, and refining equivalent circuit models for accurate nonlinear prediction across varying power regimes. Theoretical foundations are established, covering the physics of piezoelectricity, wave propagation, and the distinction between linear and nonlinear system responses. Measurement setups are meticulously designed to address the inherent limitations of real-world components, with both three and four-port systems enabling precise capture of harmonics and IMD products. Modeling efforts extend conventional linear equivalent circuits to include distributed nonlinear sources, allowing for the simulation of higher-order effects using both analytical expressions and Fast Fourier Transform (FFT) approaches. The Input-Output Equivalent Sources (IOES) method is employed to efficiently compute nonlinear outputs from distributed models. A key contribution is the extraction of technology-specific nonlinear coefficients and scaling factors through nonlinear least squares optimization, enabling accurate reproduction of measured H2, H3 and IMD3 responses. The study reveals that H2 is predominantly influenced by the electric field at the edge gap, while third-order effects need adjustments to account for non-ideal power slopes observed experimentally. Trends in scaling factors are analyzed, providing insights for future device design and modeling. The thesis also looks into the environmental, economic, and social impacts of the research, quantifying laboratory energy consumption and carbon emissions, and discussing the effect of SAW technology on global supply chains and electronic waste management. Overall, this work delivers a validated framework for nonlinear characterization of LRT-SAW resonators, combining advanced modeling, measurement, and data analysis tools. The methodologies and findings set the path for more predictive and efficient design of next-generation RF filters, with direct applicability to the communications and space industries. |