An Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach

OLIVERI, Giacomo and Poli, Lorenzo and Anselmi, Nicola and SALUCCI, Marco and MASSA, Andrea An Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach. Technical Report. ELEDIA Research Center - University of Trento.

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Abstract

This work presents an innovative microwave imaging method to retrieve non‐weak targets in the compressive sensing (CS) framework. In order to avoid the contrast source formulation (CSF) of the arising inverse scattering (IS) problem, a Born Iterative (BI) formulation is adopted, and the estimation of the unknown contrast function within the imaged domain is carried out by means of an iterative approach thanks to a customized multi‐task Bayesian compressive sensing (MT‐BCS) method. Some preliminary results are reported in order to verify the effectiveness of the proposed hybrid BI‐MT‐BCS solution strategy, as well as to highlight its current limitations.

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/798

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