Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/s18092780
Licence creative commons licence
Title (Primary) Spatial retrieval of broadband dielectric spectra
Author Bumberger, J. ORCID logo ; Mai, J.; Schmidt, F.; Lünenschloß, P.; Wagner, N.; Töpfer, H.
Source Titel Sensors
Year 2018
Department CHS; MET
Volume 18
Issue 9
Page From art. 2780
Language englisch
Keywords electromagnetic scattering inverse problems; microwave propagation; dielectric materials; dielectric measurements; soil measurements; modeling
Abstract 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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=20825
Bumberger, J., Mai, J., Schmidt, F., Lünenschloß, P., Wagner, N., Töpfer, H. (2018):
Spatial retrieval of broadband dielectric spectra
Sensors 18 (9), art. 2780 10.3390/s18092780