An advanced imaging procedure for Ground Penetrating Radar (GPR) operating in contactless configuration, i.e., when data are collected at a certain distance from the air-soil interface, is proposed in this contribution. The algorithm is based on an advanced implementation of a microwave tomographic approach recently proposed by the authors, which is capable of accounting for the near-field distribution generated by the transmitting antenna. Numerical data are obtained by means of a full-wave solution of the direct scattering problem, suitably implementing a realistic system on a commercial code. Both metallic and dielectric canonical objects can be considered to compare the performances of the proposed algorithm with respect to more conventional procedures based on simplifying hypotheses.
Advanced imaging for down-looking contactless GPR systems / Comite, Davide; Galli, Alessandro; Catapano, Ilaria; Soldovieri, Francesco. - ELETTRONICO. - (2017), pp. 1-2. (Intervento presentato al convegno 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 tenutosi a ita nel 2017) [10.23919/ROPACES.2017.7916396].
Advanced imaging for down-looking contactless GPR systems
COMITE, DAVIDE;GALLI, Alessandro;
2017
Abstract
An advanced imaging procedure for Ground Penetrating Radar (GPR) operating in contactless configuration, i.e., when data are collected at a certain distance from the air-soil interface, is proposed in this contribution. The algorithm is based on an advanced implementation of a microwave tomographic approach recently proposed by the authors, which is capable of accounting for the near-field distribution generated by the transmitting antenna. Numerical data are obtained by means of a full-wave solution of the direct scattering problem, suitably implementing a realistic system on a commercial code. Both metallic and dielectric canonical objects can be considered to compare the performances of the proposed algorithm with respect to more conventional procedures based on simplifying hypotheses.File | Dimensione | Formato | |
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