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Interpolation-based modelling of microwave ring resonators

Thesis (PhD (Electical and Electronic Engineering))--University of Stellenbosch, 2006. / Resonant frequencies and Q-factors of microwave ring resonators are predicted using interpolation-
based modelling.
A robust and efficient multivariate adaptive rational-multinomial combination interpolant is
presented. The algorithm models multiple resonance frequencies of a microwave ring resonator
simultaneously by solving an eigenmode problem. To ensure a feasible solution when using the
Method of Moments, a frequency dependent scaling constant is applied to the output model.
This, however, also induces a discontinuous solution space across the specific geometry and
requires that the frequency dependence be addressed separately from other physical parameters.
One-dimensional adaptive rational Vector Fitting is used to identify and classify resonance
frequencies into modes. The geometrical parameter space then models the different mode frequencies
using multivariate adaptive multinomial interpolation.
The technique is illustrated and evaluated on both two- and three-dimensional input models.
Statistical analysis results suggest that models are of a high accuracy even when some resonance
frequencies are lost during the frequency identification procedure.
A three-point rational interpolant function in the region of resonance is presented for the calculation
of loaded quality factors. The technique utilises the already known interpolant coefficients
of a Thiele-type continued fraction interpolant, modelling the S-parameter response of a resonator.
By using only three of the interpolant coefficients at a time, the technique provides a direct
fit and solution to the Q-factors without any additional computational electromagnetic effort.
The modelling algorithm is tested and verified for both high- and low-Q resonators. The model
is experimentally verified and comparative results to measurement predictions are shown. A
disadvantage of the method is that the technique cannot be applied to noisy measurement data
and that results become unreliable under low coupling conditions.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/1132
Date12 1900
CreatorsSchoeman, Marlize
ContributorsMeyer, P., University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
PublisherStellenbosch : University of Stellenbosch
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
RightsUniversity of Stellenbosch

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