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Transmission Sensing of Dielectric Objects for Determining the Geometric Shape of the Cross Section and the Detection of Internal Inhomogeneities

Transmission Sensing of Dielectric Objects for Determining the Geometric Shape of the Cross... In this work, the possibility of determining the geometric shape of the cross section of dielectric objects in the case of a priori information on their internal homogeneity or detecting integral internal inhomogeneities in the case of a priori information on the geometric shape of the cross section via the transmission sensing of these objects with ultra-wideband pulse radars with a central frequency in the spectrum of pulses on the order of 1 GHz is investigated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

Transmission Sensing of Dielectric Objects for Determining the Geometric Shape of the Cross Section and the Detection of Internal Inhomogeneities

Automatic Control and Computer Sciences , Volume 57 (2) – Apr 1, 2023

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References (14)

Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2023. ISSN 0146-4116, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 2, pp. 196–202. © Allerton Press, Inc., 2023. Russian Text © The Author(s), 2023, published in Avtomatika i Vychislitel’naya Tekhnika, 2023, No. 2, pp. 5–12.
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/s0146411623020037
Publisher site
See Article on Publisher Site

Abstract

In this work, the possibility of determining the geometric shape of the cross section of dielectric objects in the case of a priori information on their internal homogeneity or detecting integral internal inhomogeneities in the case of a priori information on the geometric shape of the cross section via the transmission sensing of these objects with ultra-wideband pulse radars with a central frequency in the spectrum of pulses on the order of 1 GHz is investigated.

Journal

Automatic Control and Computer SciencesSpringer Journals

Published: Apr 1, 2023

Keywords: ground penetrating radar; noninvasive method for measuring the parameters of a dielectric; transmission sensing

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