An Iterative Bayesian Compressive Sensing Approach for reconstructing Non-Born Scatterer

SALUCCI, Marco and POLI, Lorenzo and ZARDI, Francesco and TOSI, Luca and LUSA, Samantha and MASSA, Andrea (2025) An Iterative Bayesian Compressive Sensing Approach for reconstructing Non-Born Scatterer. Technical Report. ELEDIA Research Center - University of Trento.

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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.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)
Subjects: A Areas > A WC Next Generation Wireless Communications
M Methodologies > M CS Compressive Sensing
URI: http://www.eledia.org/students-reports/id/eprint/915

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