A Multi-Focusing Contrast Source Bayesian Compressive Method for Solving Inverse Scattering Problems

This work presents a novel inverse scattering (IS) methodology to deal wit.li the retrieval of the electromagnetic (EM) properties of unknown scat.t.erers. The proposed technique is based on the effective combination of a customized Bayesian compressive sensing (BCS) solver wit.li the iterative multi-scaling approach (IMSA). Accordingly, a-priori information on the class of imaged targets as well as progressively acquired information on their location and size is exploited to yield accurate and robust reconstructions. Moreover, a contrast source inversion (CSI) formulation is adopted in order to enable the retrieval of lion-Born scat.t.erers. Numerical results are shown to verify the effectiveness of the proposed IMSA-BCS-CSI method, as well as to compare it with state-of-The-Art alternatives.