Robust Algorithms for Fitting Q-Factor in the Complex Domain

This paper describes robust vector-fitting algorithms for determining the Q-factor and resonant frequency of spectrally-isolated resonances from frequency-swept S-parameter measurements for both one-port (reflection) and two-port (transmission) systems. It also provides guidance on measurement techn...

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Main Authors: Andrew P. Gregory, Peter D. Woolliams, Stephen M. Hanham
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10791316/
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author Andrew P. Gregory
Peter D. Woolliams
Stephen M. Hanham
author_facet Andrew P. Gregory
Peter D. Woolliams
Stephen M. Hanham
author_sort Andrew P. Gregory
collection DOAJ
description This paper describes robust vector-fitting algorithms for determining the Q-factor and resonant frequency of spectrally-isolated resonances from frequency-swept S-parameter measurements for both one-port (reflection) and two-port (transmission) systems. It also provides guidance on measurement techniques, and gives measurement examples from the electromagnetic and acoustic domains. These include measurements on a LC resonator (unloaded Q-factor <inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 57$ </tex-math></inline-formula>), a photonic-crystal resonator (<inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 123\,000$ </tex-math></inline-formula>) and a superconducting notch resonator (<inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 1.5\times 10^{6}$ </tex-math></inline-formula>). The vector techniques advocated are often advantageous compared to scalar techniques because they are more informative, and in many cases more precise. Among the most common applications is the measurement of dielectric permittivity and loss by resonance at RF and microwave frequencies by using Vector Network Analysers. The algorithms described, however, are applicable more generally to sensing and imaging applications that use vector instrumentation. This is demonstrated by one of the measurement examples, which shows that acoustic Q-factor can be fitted to vibrational data obtained by Resonant Ultrasound Spectroscopy. Open-source software implementations (Python and Matlab) of the algorithms have been made available.
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spelling doaj-art-05defe03a92f410aab4f68ee1b4a26462024-12-18T00:02:29ZengIEEEIEEE Access2169-35362024-01-011218833618834810.1109/ACCESS.2024.351470710791316Robust Algorithms for Fitting Q-Factor in the Complex DomainAndrew P. Gregory0https://orcid.org/0000-0003-4931-7255Peter D. Woolliams1Stephen M. Hanham2https://orcid.org/0000-0002-6118-8719National Physical Laboratory, Teddington, U.K.National Physical Laboratory, Teddington, U.K.Department of Materials, Imperial College London, London, U.K.This paper describes robust vector-fitting algorithms for determining the Q-factor and resonant frequency of spectrally-isolated resonances from frequency-swept S-parameter measurements for both one-port (reflection) and two-port (transmission) systems. It also provides guidance on measurement techniques, and gives measurement examples from the electromagnetic and acoustic domains. These include measurements on a LC resonator (unloaded Q-factor <inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 57$ </tex-math></inline-formula>), a photonic-crystal resonator (<inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 123\,000$ </tex-math></inline-formula>) and a superconducting notch resonator (<inline-formula> <tex-math notation="LaTeX">$Q_{{ o}}\approx 1.5\times 10^{6}$ </tex-math></inline-formula>). The vector techniques advocated are often advantageous compared to scalar techniques because they are more informative, and in many cases more precise. Among the most common applications is the measurement of dielectric permittivity and loss by resonance at RF and microwave frequencies by using Vector Network Analysers. The algorithms described, however, are applicable more generally to sensing and imaging applications that use vector instrumentation. This is demonstrated by one of the measurement examples, which shows that acoustic Q-factor can be fitted to vibrational data obtained by Resonant Ultrasound Spectroscopy. Open-source software implementations (Python and Matlab) of the algorithms have been made available.https://ieeexplore.ieee.org/document/10791316/Acoustic sensorsdielectric measurementmeasurement techniquesmicrowave measurementmillimeter-wave measurementnetwork analysers
spellingShingle Andrew P. Gregory
Peter D. Woolliams
Stephen M. Hanham
Robust Algorithms for Fitting Q-Factor in the Complex Domain
IEEE Access
Acoustic sensors
dielectric measurement
measurement techniques
microwave measurement
millimeter-wave measurement
network analysers
title Robust Algorithms for Fitting Q-Factor in the Complex Domain
title_full Robust Algorithms for Fitting Q-Factor in the Complex Domain
title_fullStr Robust Algorithms for Fitting Q-Factor in the Complex Domain
title_full_unstemmed Robust Algorithms for Fitting Q-Factor in the Complex Domain
title_short Robust Algorithms for Fitting Q-Factor in the Complex Domain
title_sort robust algorithms for fitting q factor in the complex domain
topic Acoustic sensors
dielectric measurement
measurement techniques
microwave measurement
millimeter-wave measurement
network analysers
url https://ieeexplore.ieee.org/document/10791316/
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AT stephenmhanham robustalgorithmsforfittingqfactorinthecomplexdomain