3D Electromagnetic imaging using compressive sensing

We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem.