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The Effect of the Equivalent Permittivity Model in Contactless MIMO-GPR Imaging
Gianluca Gennarelli1, Ilaria Catapano1, Francesco Soldovieri1
1Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, Via Diocleziano 328, 80124 Napoli, Italy.
This study introduces a 2D imaging approach for Multiple-Input-Multiple-Output Ground-Penetrating Radar (MIMO-GPR). The method enhances subsurface target detection and reconstruction accuracy using an adjoint inversion technique for efficient and reliable results.
Area of Science:
- Geophysics
- Electromagnetics
- Radar Technology
Background:
- Multiple-Input-Multiple-Output Ground-Penetrating Radar (MIMO-GPR) offers improved subsurface imaging by utilizing multiple transmitter and receiver channels.
- MIMO-GPR enhances reconstruction accuracy and target detection capabilities for diagnostic applications.
Purpose of the Study:
- To develop a 2D radar imaging approach for contactless MIMO GPR.
- To formulate the imaging problem as a linearized inverse scattering problem under Born approximation.
- To adopt a ray propagation model using equivalent permittivity for wave propagation analysis.
Main Methods:
- A 2D imaging approach for MIMO GPR is presented.
- The imaging problem is linearized using the Born approximation.
- An adjoint inversion method is employed to solve the inverse problem.
- A ray propagation model with spatially varying equivalent permittivity is utilized.
Main Results:
- The proposed imaging strategy demonstrates sufficient accuracy for engineering applications.
- Numerical simulations confirm the computational efficiency of the method.
- Reliable target reconstruction is achieved through adjoint inversion.
Conclusions:
- The developed 2D MIMO-GPR imaging approach is accurate and computationally efficient.
- The method provides a reliable tool for subsurface target reconstruction.
- This technique advances contactless GPR diagnostic capabilities.
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