Performance Assessment of Multistatic/Multi-Frequency 3D GPR Imaging by Linear Microwave Tomography

The advent of multichannel ground-penetrating radar systems capable of acquiring multiview, multistatic, and multifrequency data is offering new possibilities to improve subsurface imaging performance. However, this raises the need for reconstruction approaches capable of handling such sophisticated configurations and the resulting increase in the data volume. Therefore, the challenge lies in identifying proper measurement configurations that balance image quality with the complexity and duration of data acquisition. As a contribution to this topic, the present paper focuses on a measurement system working in reflection mode and composed of an array of antennas, consisting of a transmitting antenna and several receiving antennas, whose spatial offset is comparable to the probing wavelength. Therefore, for each position of the transmitting antenna, a single-view/multistatic configuration is considered. The imaging task is solved by adopting a linear microwave tomographic approach, which provides a qualitative reconstruction of the investigated scenario. In particular, a 3D inverse scattering problem is tackled for an isotropic, homogeneous, lossless, and non-magnetic medium under the Born approximation, considering both single- and multi-frequency data. A preliminary analysis, referring to a 3D free-space reference scenario, is performed in terms of the spectral content of the scattering operator and the system's point spread function. Finally, an experimental validation under laboratory conditions is presented in order to verify the expected imaging capability of the inversion approach.

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Publication Details

Journal
Sensors
Published
2025-10-19
DOI
https://doi.org/10.3390/s25206467
Citations
2
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
2.29
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article

Performance Assessment of Multistatic/Multi-Frequency 3D GPR Imaging by Linear Microwave Tomography

Carlo Noviello, Ilaria Catapano, Francesco Soldovieri, Gianluca Gennarelli et al.
2 citations
Sensors
Geophysical Methods and Applications
2.29
article

Performance Assessment of Multistatic/Multi-Frequency 3D GPR Imaging by Linear Microwave Tomography

Carlo Noviello, Ilaria Catapano, Francesco Soldovieri, Gianluca Gennarelli, Mehdi Masoodi
article en
2 citations

Abstract

The advent of multichannel ground-penetrating radar systems capable of acquiring multiview, multistatic, and multifrequency data is offering new possibilities to improve subsurface imaging performance. However, this raises the need for reconstruction approaches capable of handling such sophisticated configurations and the resulting increase in the data volume. Therefore, the challenge lies in identifying proper measurement configurations that balance image quality with the complexity and duration of data acquisition. As a contribution to this topic, the present paper focuses on a measurement system working in reflection mode and composed of an array of antennas, consisting of a transmitting antenna and several receiving antennas, whose spatial offset is comparable to the probing wavelength. Therefore, for each position of the transmitting antenna, a single-view/multistatic configuration is considered. The imaging task is solved by adopting a linear microwave tomographic approach, which provides a qualitative reconstruction of the investigated scenario. In particular, a 3D inverse scattering problem is tackled for an isotropic, homogeneous, lossless, and non-magnetic medium under the Born approximation, considering both single- and multi-frequency data. A preliminary analysis, referring to a 3D free-space reference scenario, is performed in terms of the spectral content of the scattering operator and the system's point spread function. Finally, an experimental validation under laboratory conditions is presented in order to verify the expected imaging capability of the inversion approach.

SensorsVol. 25(20)
Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IT), National Research Council (IT)
Openalex Percentile: Top 11%
Geophysical Methods and Applications
2.29
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