%T An Iterative Bayesian Compressive Sensing Approach for reconstructing Non-Born Scatterer
%I ELEDIA Research Center - University of Trento
%L elediasc12915
%D 2025
%A Marco SALUCCI
%A Lorenzo POLI
%A Francesco ZARDI
%A Luca TOSI
%A Samantha LUSA
%A Andrea MASSA
%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.
%K microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)