Article (Scientific journals)
Modeling of Multilayered Media Green's Functions with Rough Interfaces
Jonard, François; Andre, F.; Pinel, N. et al.
2019In IEEE Transactions on Geoscience and Remote Sensing, 57 (10), p. 7671-7681
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Keywords :
Finite-difference time-domain (FDTD); Green's function; Kirchhoff-tangent plane approximation (KA); Finite difference time domain method; Geological surveys; Ground penetrating radar systems; Numerical methods; Radar; Scattering; Time domain analysis; Finite -difference time domains (FDTD); Ground penetrating radar (GPR); Model inversion; Multi-layered media; Rough interfaces; Tangent plane; Geophysical prospecting; Green function
Abstract :
[en] Horizontally stratified media are commonly used to represent naturally occurring and man-made structures, such as soils, roads, and pavements, when probed by ground-penetrating radar (GPR). Electromagnetic (EM) wave scattering from such multilayered media is dependent on the roughness of the interfaces. In this paper, we developed a closed-form asymptotic EM model considering random rough layers based on the scalar Kirchhoff-tangent plane approximation (SKA) model that we combined with planar multilayered media Green's functions. In order to validate our extended SKA model, we conducted simulations using a numerical EM solver based on the finite-difference time-domain (FDTD) method. We modeled a medium with three layers-a base layer of perfect electric conductor (PEC) overlaid by two layers of different materials with rough interfaces. The reflections at the first and at the second interface were both well reproduced by the SKA model for each roughness condition. For the reflection at the PEC surface, the extended SKA model slightly overestimated the reflection, and this overestimation increased with the roughness amplitude. Good agreement was also obtained between the FDTD simulation input values and the inverted root mean square (rms) height estimates of the top interface, while the inverted rms heights of the second interface were slightly overestimated. The accuracy and the performances of our asymptotic forward model demonstrate the promising perspectives for simulating rough multilayered media and, hence, for the full waveform inversion of GPR data to noninvasively characterize soils and materials. © 1980-2012 IEEE.
Disciplines :
Electrical & electronics engineering
Environmental sciences & ecology
Author, co-author :
Jonard, François  ;  Université de Liège - ULiège > Département de géographie > Systèmes d'information géographiques
Andre, F.;  Earth and Life Institute, Université Catholique de Louvain, Louvain-la-Neuve, 1348, Belgium
Pinel, N.;  ICAM School of Engineering, Carquefou, 44470, France
Warren, C.;  Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom
Vereecken, H.;  Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom
Lambot, S.;  Institute of Bio-and Geosciences Agrosphere (IBG-3), Forschungszentrum Jülich, Jülich, 52425, Germany
Language :
English
Title :
Modeling of Multilayered Media Green's Functions with Rough Interfaces
Publication date :
2019
Journal title :
IEEE Transactions on Geoscience and Remote Sensing
ISSN :
0196-2892
eISSN :
1558-0644
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
57
Issue :
10
Pages :
7671-7681
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 21 September 2021

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