Bayesian Compressive Sensing in Multi-Resolution Contrast Source Estimation

SALUCCI, Marco and POLI, Lorenzo and ZARDI, Francesco and TOSI, Luca and LUSA, Samantha and MASSA, Andrea (2025) Bayesian Compressive Sensing in Multi-Resolution Contrast Source Estimation. Technical Report. ELEDIA Research Center - University of Trento.

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Abstract

This work proposes a sophisticated multi-step inverse scattering strategy within the contrast source inversion (CSI) framework to reconstruct non-Born scatterers. It adopts a multi-resolution (MR) scheme to represent contrast sources, which are iteratively estimated using a Bayesian compressive sensing (BCS) algorithm that encourages sparse solutions. The method's accuracy and stability are confirmed through extensive testing. Benchmark comparisons demonstrate the approach’s strong performance relative to contemporary advanced techniques.

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/917

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