Estimation of Permittivity of Materials using Sub-Millimeter Waves
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63516802" target="_blank" >RIV/70883521:28140/17:63516802 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/CarpathianCC.2017.7970445" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2017.7970445</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2017.7970445" target="_blank" >10.1109/CarpathianCC.2017.7970445</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of Permittivity of Materials using Sub-Millimeter Waves
Popis výsledku v původním jazyce
Work presented in this abstract is aimed at reconstruction of relative electric permittivity. Recent real measurements gave rise to the progress of this research. Known dielectric materials as polytetrafluorethylen (Teflon), aluminium oxide, a generic black rubber, and their combinations were examined on higher range of frequencies to et some real data and to prove or to point out possible imperfections of the prepared inverse approach. A great novelty of this research is also in using submillimeter waves in measurements. The motivation of this work is in the further possibility to estimate the relative permittivity (with defined uncertainty) of unknown materials or new materials like nanomaterials and composites. Moreover this work plans to present results of experiments with combined parallel layers of materials. As far as the author knows to date it is known how to solve the explicit corresponding forward problems, that is, to compute the S-parameters (transmission and reflection coefficients) of a known material at a specific frequency range. The present study goes the nonconformist, opposite direction. The designed process of estimation can be abstracted to the following steps. At the beginning there is a need of transmission and reflection coefficients (measured S-parameters) of a material under test in free space. These are the input data. Afterwards, inverse processing takes place using a direct model which is computing synthetic S-parameters from guessed permittivity. A perfectly working direct model represents the base of success of this approach. An evolutionary algorithm is applied on this model the provide an automated way of estimating the permittivity. This leads to the best guess of the relative permittivity. This is the way how (not only) general material properties could be estimated from measured data.
Název v anglickém jazyce
Estimation of Permittivity of Materials using Sub-Millimeter Waves
Popis výsledku anglicky
Work presented in this abstract is aimed at reconstruction of relative electric permittivity. Recent real measurements gave rise to the progress of this research. Known dielectric materials as polytetrafluorethylen (Teflon), aluminium oxide, a generic black rubber, and their combinations were examined on higher range of frequencies to et some real data and to prove or to point out possible imperfections of the prepared inverse approach. A great novelty of this research is also in using submillimeter waves in measurements. The motivation of this work is in the further possibility to estimate the relative permittivity (with defined uncertainty) of unknown materials or new materials like nanomaterials and composites. Moreover this work plans to present results of experiments with combined parallel layers of materials. As far as the author knows to date it is known how to solve the explicit corresponding forward problems, that is, to compute the S-parameters (transmission and reflection coefficients) of a known material at a specific frequency range. The present study goes the nonconformist, opposite direction. The designed process of estimation can be abstracted to the following steps. At the beginning there is a need of transmission and reflection coefficients (measured S-parameters) of a material under test in free space. These are the input data. Afterwards, inverse processing takes place using a direct model which is computing synthetic S-parameters from guessed permittivity. A perfectly working direct model represents the base of success of this approach. An evolutionary algorithm is applied on this model the provide an automated way of estimating the permittivity. This leads to the best guess of the relative permittivity. This is the way how (not only) general material properties could be estimated from measured data.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10303 - Particles and field physics
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1303" target="_blank" >LO1303: Podpora udržitelnosti a rozvoje Centra bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2017 18th International Carpathian Control Conference, ICCC 2017
ISBN
978-150904862-5
ISSN
—
e-ISSN
neuvedeno
Počet stran výsledku
5
Strana od-do
468-472
Název nakladatele
Institute of Electrical and Electronics Engineers Inc.
Místo vydání
Piscataway, New Jersey
Místo konání akce
Sinaja
Datum konání akce
28. 5. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—