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Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †

Time-domain reflectometry (TDR) has been a powerful tool for measuring soil dielectric properties. Initiating from apparent dielectric constant ([Formula: see text]) measurement up until apparent and complex dielectric spectroscopies, the embedded information in the TDR signal can be extracted to in...

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Autores principales: Ngui, Yin Jeh, Lin, Chih-Ping, Wu, Tsai-Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471316/
https://www.ncbi.nlm.nih.gov/pubmed/30875851
http://dx.doi.org/10.3390/s19061299
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author Ngui, Yin Jeh
Lin, Chih-Ping
Wu, Tsai-Jung
author_facet Ngui, Yin Jeh
Lin, Chih-Ping
Wu, Tsai-Jung
author_sort Ngui, Yin Jeh
collection PubMed
description Time-domain reflectometry (TDR) has been a powerful tool for measuring soil dielectric properties. Initiating from apparent dielectric constant ([Formula: see text]) measurement up until apparent and complex dielectric spectroscopies, the embedded information in the TDR signal can be extracted to inspire our understanding of the underlying dielectric behaviors. Multiple full waveform inversion techniques have been developed to extract complex dielectric permittivity (CDP) spectrum, but most of them involved prior knowledge of input function and tedious calibration. This rendered the field dielectric spectroscopy challenging and expensive to conduct. Dual reflection analysis (DRA) is proposed in this study to measure CDP spectrum from 10 MHz to 1 GHz. DRA is a simple, robust, model-free, and source-function free algorithm which requires minimal calibration effort. The theoretical framework of DRA is established and the necessary signal processing procedures are elaborated in this study. Eight materials with different dielectric characteristics are selected to evaluate DRA’s performance, by using both simulated and experimental signals. DRA is capable of measuring non-dispersive materials very well, whereas dispersive materials require the assistance of a long-time-window (LTW) extraction method to further extend the effective bandwidth. The DRA approach is suitable for field applications that can only record a limited amount of data points and in-situ dielectric spectroscopy.
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spelling pubmed-64713162019-04-26 Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals † Ngui, Yin Jeh Lin, Chih-Ping Wu, Tsai-Jung Sensors (Basel) Article Time-domain reflectometry (TDR) has been a powerful tool for measuring soil dielectric properties. Initiating from apparent dielectric constant ([Formula: see text]) measurement up until apparent and complex dielectric spectroscopies, the embedded information in the TDR signal can be extracted to inspire our understanding of the underlying dielectric behaviors. Multiple full waveform inversion techniques have been developed to extract complex dielectric permittivity (CDP) spectrum, but most of them involved prior knowledge of input function and tedious calibration. This rendered the field dielectric spectroscopy challenging and expensive to conduct. Dual reflection analysis (DRA) is proposed in this study to measure CDP spectrum from 10 MHz to 1 GHz. DRA is a simple, robust, model-free, and source-function free algorithm which requires minimal calibration effort. The theoretical framework of DRA is established and the necessary signal processing procedures are elaborated in this study. Eight materials with different dielectric characteristics are selected to evaluate DRA’s performance, by using both simulated and experimental signals. DRA is capable of measuring non-dispersive materials very well, whereas dispersive materials require the assistance of a long-time-window (LTW) extraction method to further extend the effective bandwidth. The DRA approach is suitable for field applications that can only record a limited amount of data points and in-situ dielectric spectroscopy. MDPI 2019-03-14 /pmc/articles/PMC6471316/ /pubmed/30875851 http://dx.doi.org/10.3390/s19061299 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ngui, Yin Jeh
Lin, Chih-Ping
Wu, Tsai-Jung
Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title_full Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title_fullStr Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title_full_unstemmed Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title_short Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals †
title_sort dielectric spectroscopy using dual reflection analysis of tdr signals †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471316/
https://www.ncbi.nlm.nih.gov/pubmed/30875851
http://dx.doi.org/10.3390/s19061299
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