Processing the 2D and 3D Fresnel experimental databases via topological derivative methods
A. Carpio, M. Pena, M. L. Rapún
TL;DR
This work applies topological derivative and topological energy methods to the 2D and 3D Fresnel experimental databases to reconstruct homogeneous targets from microwave measurements. By formulating the inverse problem as a constrained optimization and exploiting closed-form topological fields derived from forward/adjoint Maxwell problems, the approach yields fast, one-step reconstructions that fuse multi-frequency data. The results show accuracy comparable to established methods in 2D, and demonstrate promising, though more challenging, performance in 3D, with clear guidance on when TD vs TE energies provide the strongest imaging cues. The methods require no a priori target information and leverage reciprocity and simple incident-wave modeling to achieve robust shape localization with low computational cost.
Abstract
This paper presents reconstructions of homogeneous targets from the 2D and 3D Fresnel databases by one-step imaging methods based on the computation of topological derivative and topological energy fields. The electromagnetic inverse scattering problem is recast as a constrained optimization problem, in which we seek to minimize the error when comparing experimental microwave measurements with computer-generated synthetic data for arbitrary targets by approximating a Maxwell forward model. The true targets are then characterized by combining the topological derivatives or energies of such shape functionals for all available receivers and emitters at different frequencies. Our approximations are comparable to the best approximations already obtained by other methods. However, these topological fields admit easy to evaluate closed-form expressions, which speeds up the process.
