Analysis of Calibration Procedure for Open-Ended Coaxial Probe

Sulayman Joof, Cemanur Aydinalp, Ismail Dilman, Mehmet Nuri Akinci, Tuba Yilmaz

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

The implementation of machine and deep learning algorithms to solve microwave related problems have been of interest to researchers. These algorithms require large amount of data to design a robust model. In this work, a cost-effective and fast method to retrieve the reflection coefficients of a material under test using the admittance model of the open-ended coaxial probe is presented. The reflection coefficients of three pure liquids and four mixture solutions generated, measured and analyzed. The results from the admittance model is compared with CST Microwave studio simulations and experimental measurements. The reflection coefficients retrieved via the admittance model indicate a good agreement with the simulated and measured results.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar34-35
Sayfa sayısı2
ISBN (Elektronik)9781946815163
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Denver, United States
Süre: 10 Tem 202215 Tem 2022

Yayın serisi

Adı2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022 - Proceedings

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???event.eventtypes.event.conference???2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2022
Ülke/BölgeUnited States
ŞehirDenver
Periyot10/07/2215/07/22

Bibliyografik not

Publisher Copyright:
© 2022 USNC-URSI.

Finansman

ACKNOWLEDGEMENT This work has received funding from Scientific and Technological Research Council of Turkey under grant agreement

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

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