%0 Report
%9 Technical Report
%A SALUCCI, Marco
%A POLI, Lorenzo
%A ZARDI, Francesco
%A TOSI, Luca
%A LUSA, Samantha
%A MASSA, Andrea
%D 2025
%F elediasc12:915
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)
%T An Iterative Bayesian Compressive Sensing Approach for reconstructing Non-Born Scatterer
%U http://www.eledia.org/students-reports/915/
%X This study presents an advanced multi-step inverse scattering method, developed within the contrast source inversion (CSI) framework, to reconstruct non-Born scatterers. The technique utilizes a multi-resolution (MR) model to represent the contrast sources, which are progressively estimated using a Bayesian compressive sensing (BCS) strategy with sparsity constraints. The proposed MR-BCS-CSI method is thoroughly tested using simulated data to validate its precision and stability. Comparative evaluations against current state-of-the-art techniques reveal the method’s strong performance and reliability.