@techreport{elediasc12911,
       publisher = {ELEDIA Research Center - University of Trento},
            type = {Technical Report},
          author = {Marco SALUCCI and Lorenzo POLI and Francesco ZARDI and Luca TOSI and Samantha LUSA and Andrea MASSA},
            year = {2025},
           title = {Multi-Resolution Bayesian Compressive Sensing for Sparse Target Inversion},
        keywords = {microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)},
             url = {http://www.eledia.org/students-reports/911/},
        abstract = {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.}
}