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Maximum-sensitivity method for minimizing uncertainty in the measurements of permittivity of a cylindrical dielectric sample in a rectangular waveguide
Riga Technical University, Latvia.
Riga Technical University, Latvia.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Mathematics.ORCID iD: 0000-0002-2691-2820
2017 (English)In: 2017 Progress In Electromagnetics Research Symposium - Fall (PIERS - FALL), Electromagnetics Academy , 2017, p. 570-578Conference paper, Published paper (Refereed)
Abstract [en]

A novel and efficient methodology is proposed for reducing measurement uncertainty associated with the dielectric constant of low-loss materials. The experimental setup consists of two H-plane cylindrical rods located in a rectangular waveguide. One of the rods has the unknown dielectric constant to be extracted, while the other dielectric rod whose dielectric constant is known in advance and serves as a tool for altering the shape of the dependence of the absolute value of the reflection coefficient on the dielectric constant in such a way that the resulting curve exhibits more rapid variations in the range of possible values of the dielectric constant of the post being characterized. The distance between the rods, radius of the optimizing rod, and position offset of the optimizing post serve as optimization parameters to be adjusted so that measurement uncertainty could be reduced which is confirmed by the results of numerical modeling. However, in the vicinity of the resonances, the method cannot be applied. © 2018 Electromagnetics Academy. All rights reserved.

Place, publisher, year, edition, pages
Electromagnetics Academy , 2017. p. 570-578
Series
Progress in Electromagnetics Research Symposium, ISSN 1559-9450
Keywords [en]
Dielectric materials, Rectangular waveguides, Absolute values, Cylindrical rod, Dielectric rods, Low loss material, Maximum sensitivity, Measurement uncertainty, Measurements of, Optimization parameter, Uncertainty analysis
National Category
Mathematics
Identifiers
URN: urn:nbn:se:hig:diva-26735DOI: 10.1109/PIERS-FALL.2017.8293202ISI: 000428518300098Scopus ID: 2-s2.0-85045346514ISBN: 9781538612118 (electronic)ISBN: 978-1-5386-1212-5 (print)OAI: oai:DiVA.org:hig-26735DiVA, id: diva2:1213061
Conference
2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017, 19-22 November 2017, Singapore, Singapore
Projects
Project Largescale
Funder
Swedish InstituteAvailable from: 2018-06-04 Created: 2018-06-04 Last updated: 2022-09-15Bibliographically approved

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Shestopalov, Yury

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CiteExportLink to record
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Citation style
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