%X This work introduces a novel multi-step inverse scattering method within the contrast source inversion (CSI) framework, specifically designed to reconstruct non-Born scatterers. The technique models the unknown contrast sources using a multi-resolution (MR) approach, enabling a more flexible and detailed representation. These sources are then recovered iteratively using Bayesian compressive sensing (BCS). The performance and reliability of the MR-BCS-CSI method are validated through a set of numerical test cases.
%D 2025
%T Sparse Target Reconstruction via Multi-Resolution Bayesian Compressive Sensing
%A Marco SALUCCI
%A Lorenzo POLI
%A Francesco ZARDI
%A Luca TOSI
%A Samantha LUSA
%A Andrea MASSA
%L elediasc12914
%I ELEDIA Research Center - University of Trento
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)