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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