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Spatial Retrieval of Broadband Dielectric Spectra
A broadband soil dielectric spectra retrieval approach (1 MHz–2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a power law soil mixture rule (Complex...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163374/ https://www.ncbi.nlm.nih.gov/pubmed/30142965 http://dx.doi.org/10.3390/s18092780 |
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author | Bumberger, Jan Mai, Juliane Schmidt, Felix Lünenschloß, Peter Wagner, Norman Töpfer, Hannes |
author_facet | Bumberger, Jan Mai, Juliane Schmidt, Felix Lünenschloß, Peter Wagner, Norman Töpfer, Hannes |
author_sort | Bumberger, Jan |
collection | PubMed |
description | A broadband soil dielectric spectra retrieval approach (1 MHz–2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a power law soil mixture rule (Complex Refractive Index Model—CRIM). The spatially-distributed retrieval of broadband dielectric spectra was achieved with a global optimization approach based on a Shuffled Complex Evolution (SCE) algorithm using the full set of the scattering parameters. For each layer, the broadband dielectric spectra were retrieved with the corresponding parameters thickness, porosity, water saturation and electrical conductivity of the aqueous pore solution. For the validation of the approach, a coaxial transmission line cell measured with a network analyzer was used. The possibilities and limitations of the inverse parameter estimation were numerically analyzed in four scenarios. Expected and retrieved layer thicknesses, soil properties and broadband dielectric spectra in each scenario were in reasonable agreement. Hence, the model is suitable for an estimation of in-homogeneous material parameter distributions. Moreover, the proposed frequency domain approach allows an automatic adaptation of layer number and thickness or regular grids in time and/or space. |
format | Online Article Text |
id | pubmed-6163374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61633742018-10-10 Spatial Retrieval of Broadband Dielectric Spectra Bumberger, Jan Mai, Juliane Schmidt, Felix Lünenschloß, Peter Wagner, Norman Töpfer, Hannes Sensors (Basel) Article A broadband soil dielectric spectra retrieval approach (1 MHz–2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a power law soil mixture rule (Complex Refractive Index Model—CRIM). The spatially-distributed retrieval of broadband dielectric spectra was achieved with a global optimization approach based on a Shuffled Complex Evolution (SCE) algorithm using the full set of the scattering parameters. For each layer, the broadband dielectric spectra were retrieved with the corresponding parameters thickness, porosity, water saturation and electrical conductivity of the aqueous pore solution. For the validation of the approach, a coaxial transmission line cell measured with a network analyzer was used. The possibilities and limitations of the inverse parameter estimation were numerically analyzed in four scenarios. Expected and retrieved layer thicknesses, soil properties and broadband dielectric spectra in each scenario were in reasonable agreement. Hence, the model is suitable for an estimation of in-homogeneous material parameter distributions. Moreover, the proposed frequency domain approach allows an automatic adaptation of layer number and thickness or regular grids in time and/or space. MDPI 2018-08-23 /pmc/articles/PMC6163374/ /pubmed/30142965 http://dx.doi.org/10.3390/s18092780 Text en © 2018 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 Bumberger, Jan Mai, Juliane Schmidt, Felix Lünenschloß, Peter Wagner, Norman Töpfer, Hannes Spatial Retrieval of Broadband Dielectric Spectra |
title | Spatial Retrieval of Broadband Dielectric Spectra |
title_full | Spatial Retrieval of Broadband Dielectric Spectra |
title_fullStr | Spatial Retrieval of Broadband Dielectric Spectra |
title_full_unstemmed | Spatial Retrieval of Broadband Dielectric Spectra |
title_short | Spatial Retrieval of Broadband Dielectric Spectra |
title_sort | spatial retrieval of broadband dielectric spectra |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163374/ https://www.ncbi.nlm.nih.gov/pubmed/30142965 http://dx.doi.org/10.3390/s18092780 |
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