@techreport{elediasc12915,
       publisher = {ELEDIA Research Center - University of Trento},
           title = {An Iterative Bayesian Compressive Sensing Approach for reconstructing Non-Born Scatterer},
            type = {Technical Report},
            year = {2025},
          author = {Marco SALUCCI and Lorenzo POLI and Francesco ZARDI and Luca TOSI and Samantha LUSA and Andrea MASSA},
             url = {http://www.eledia.org/students-reports/915/},
        abstract = {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.},
        keywords = {microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)}
}