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Performance Assessment of Multistatic/Multi-Frequency 3D GPR Imaging by Linear Microwave Tomography
Mehdi Masoodi1, Gianluca Gennarelli1, Carlo Noviello1
1Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Via Diocleziano 328, 80124 Napoli, Italy.
This study introduces a linear microwave tomographic approach for advanced ground-penetrating radar systems. The method enhances subsurface imaging by reconstructing data from single-view/multistatic configurations.
Area of Science:
- Geophysics
- Electromagnetics
- Signal Processing
Background:
- Multichannel ground-penetrating radar (GPR) systems offer improved subsurface imaging.
- Handling large data volumes from multiview, multistatic, and multifrequency GPR requires advanced reconstruction methods.
- Optimizing measurement configurations is crucial for balancing image quality and acquisition efficiency.
Purpose of the Study:
- To develop and validate a linear microwave tomographic approach for subsurface imaging using GPR.
- To address the reconstruction challenges posed by sophisticated GPR configurations.
- To investigate measurement configurations that balance image quality with acquisition complexity.
Main Methods:
- A single-view/multistatic GPR measurement system with an antenna array was employed.
- A linear microwave tomographic approach was used to solve a 3D inverse scattering problem.
- The Born approximation was applied to an isotropic, homogeneous, lossless, and non-magnetic medium, considering single- and multi-frequency data.
Main Results:
- A qualitative reconstruction of the investigated scenario was achieved using the tomographic approach.
- Analysis of the scattering operator's spectral content and the system's point spread function was performed for a 3D free-space scenario.
- Experimental validation confirmed the imaging capability of the inversion approach under laboratory conditions.
Conclusions:
- The proposed linear microwave tomographic method is effective for subsurface imaging with advanced GPR systems.
- The approach provides a viable solution for handling complex GPR data acquisition configurations.
- Further research can build upon this method for enhanced GPR-based subsurface exploration.
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