Contrast Source Inversion-Enhanced Synthetic Aperture Approach for Microwave Multilayered Subsurface Imaging

This article presents an inverse scattering analysis-enhanced radar imaging method by incorporating synthetic aperture radar (SAR) and contrast source inversion (CSI) to enhance the imaging accuracy of a microwave ground-penetrating radar (GPR) model. The GPR SAR propagation model could be accurately determined via the CSI optimization output, i.e., the electric total fields of all region of interest (ROI) cells and observation areas, which generate an accurate Green’s function as the propagation model in a heterogeneous background medium. Additionally, the scattered field, assuming a multilayered background, is reconstructed using a CSI scheme. Numerical tests based on the finite-difference time domain (FDTD) show that our proposed method considerably improves the reconstruction accuracy for target localization, even in highly heterogeneous multilayered background media.