%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 elediasc12:911
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)
%T Multi-Resolution Bayesian Compressive Sensing for Sparse Target Inversion
%U http://www.eledia.org/students-reports/911/
%X Non-Born scatterer retrieval is addressed within the contrast source inversion (CSI) framework using a novel multi-step inverse scattering approach. The unknown contrast sources are represented in a multi-resolution (MR) framework and iteratively reconstructed using a Bayesian compressive sensing (BCS) approach, which employs a constrained relevance vector machine solver to promote sparsity. To assess the reliability and robustness of the proposed MR-BCS-CSI method, representative inversions from both synthetic and experimental data are presented. Additionally, comparisons with recent state-of-the-art alternatives are provided.