Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bumberger, Jan, Mai, Juliane, Schmidt, Felix, Lünenschloß, Peter, Wagner, Norman, Töpfer, Hannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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
_version_ 1783359345731305472
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
work_keys_str_mv AT bumbergerjan spatialretrievalofbroadbanddielectricspectra
AT maijuliane spatialretrievalofbroadbanddielectricspectra
AT schmidtfelix spatialretrievalofbroadbanddielectricspectra
AT lunenschloßpeter spatialretrievalofbroadbanddielectricspectra
AT wagnernorman spatialretrievalofbroadbanddielectricspectra
AT topferhannes spatialretrievalofbroadbanddielectricspectra