Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method

Oliveri, Giacomo and Poli, Lorenzo and Anselmi, Nicola and Salucci, Marco and Massa, Andrea Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method. Technical Report. ELEDIA Research Center - University of Trento.

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Abstract

This work deals with the problem of imaging non‐weak scatterers in the Compressive Sensing (CS) framework. Towards this end, an innovative hybrid Born Iterative Compressive Sensing method has been developed, by suitably formulating the non‐linear inverse scattering (IS) problem at hand within the Born Iterative (BI) framework and exploiting a customized version of the single‐task Bayesian CS (ST‐BCS) solution method. Selected numerical results are shown to assess the potentialities of the proposed IS methodology when dealing with several types of unknown scatterers and processing noisy data with different signal‐to‐noise ratios.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: Microwave Imaging, Inverse Scattering, Compressive Sensing, Born Iterative Method
Subjects: A Areas > A WC Next Generation Wireless Communications
M Methodologies > M CS Compressive Sensing
URI: http://www.eledia.org/students-reports/id/eprint/797

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