Advanced Imaging for Down-Looking Contactless GPR Systems

Authors

  • D. Comite Department of Information Engineering, Electronics and Telecommunications Sapienza University of Rome, via Eudossiana 18, 00184, Rome, Italy
  • F. Murgia Department of Information Engineering, Electronics and Telecommunications Sapienza University of Rome, via Eudossiana 18, 00184, Rome, Italy
  • I. Catapano Institute for Electromagnetic Sensing of the Environment (IREA) National Research Council of Italy (CNR), via Diocleziano 328, 80124, Naples, Italy
  • F. Soldovieri Institute for Electromagnetic Sensing of the Environment (IREA) National Research Council of Italy (CNR), via Diocleziano 328, 80124, Naples, Italy
  • A. Galli Department of Information Engineering, Electronics and Telecommunications Sapienza University of Rome, via Eudossiana 18, 00184, Rome, Italy

Keywords:

Contactless configuration, GPR, inverse scattering, microwave imaging

Abstract

This paper investigates the performance of an advanced imaging procedure for ground penetrating radar (GPR) operating in contactless configuration, i.e., when data are collected at variable distances from the air-soil interface. A data processing procedure is presented, based on an advanced implementation of a microwave tomographic approach. This improved version, recently proposed by the authors, is able of accounting for the near-field distribution generated by a directional transmitting antenna. The effectiveness of the procedure is shown by processing numerical data, which are obtained by suitably implementing a realistic system on a full-wave commercial simulator. Metallic canonical objects are considered to compare the reconstruction capabilities of the proposed algorithm with respect to more conventional procedures, as well as to assess the role of the antenna distance from the air-soil interface.

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Published

2021-07-22

How to Cite

D. Comite, F. Murgia, I. Catapano, F. Soldovieri, & A. Galli. (2021). Advanced Imaging for Down-Looking Contactless GPR Systems. The Applied Computational Electromagnetics Society Journal (ACES), 33(07), 790–793. Retrieved from https://journals.riverpublishers.com/index.php/ACES/article/view/9079

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