Warren, Craig and Giannopoulos, Antonios (2011) Creating finite-difference time-domain models of commercial ground-penetrating radar antennas using Taguchi's optimization method. Geophysics, 76 (2). G37-G47. ISSN 0016-8033
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Warren, Giannopoulos - FDTD models of commercial GPR antennas.pdf - Accepted Version Download (2MB) | Preview |
Abstract
Very few researchers have developed numerical models of ground-penetrating radar (GPR) that include realistic descriptions of both the antennas and the subsurface. This is essential to be able to accurately predict responses from near-surface, near-field targets. We have developed a detailed 3D finite-difference time-domain models of two commercial GPR antennas — a Geophysical Survey Systems, Inc. (GSSI) 1.5-GHz antenna and a MALÅ Geoscience 1.2-GHz antenna — using simple analyses of the geometries and the main components of the antennas. Values for unknown parameters in the antenna models (due to commercial sensitivity) were estimated by using Taguchi’s optimization method, resulting in a good match between the real and modeled crosstalk responses in free space. Validation using a series of oil-in-water emulsions to simulate the electrical properties of real materials demonstrated that it was essential to accurately model the permittivity and dispersive conductivity. When accurate descriptions of the emulsions were combined with the antenna models, the simulated responses showed very good agreement with real data. This provides confidence for use of the antenna models in more advanced studies.
Item Type: | Article |
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Uncontrolled Keywords: | finite difference methods, geophysical equipment, geophysical techniques, ground penetrating radar, radar antennas, remote sensing by radar, time-domain analysis |
Subjects: | F800 Physical and Terrestrial Geographical and Environmental Sciences H200 Civil Engineering H600 Electronic and Electrical Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Craig Warren |
Date Deposited: | 13 Jul 2017 15:36 |
Last Modified: | 01 Aug 2021 02:51 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/31289 |
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