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Compressive Sensing-Based Born Iterative Method for Tomographic Imaging

Abstract : The problem of imaging nonweak scatterers in the compressive sensing (CS) framework, without recurring to the contrast-source formulation, is addressed by means of an innovative hybrid born iterative CS method (BI-CSM). Toward this end, the born iterative (BI) formulation of the nonlinear inverse scattering equations is adopted and a customized version of the CS-based inversion is implemented to retrieve the target contrast while estimating the electric field distribution without recurring to time-expensive full-wave simulations. The selected numerical and experimental results, drawn from a wide validation, are presented to illustrate the procedural steps of the BI-CSM and to assess, also comparatively, the features, the potentialities, and the limitations of the proposed inversion technique
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Contributor : Andrea Massa <>
Submitted on : Thursday, May 9, 2019 - 9:43:24 AM
Last modification on : Wednesday, April 8, 2020 - 3:58:45 PM



Giacomo Oliveri, Lorenzo Poli, Nicola Anselmi, Marco Salucci, Andrea Massa. Compressive Sensing-Based Born Iterative Method for Tomographic Imaging. IEEE Transactions on Microwave Theory and Techniques, Institute of Electrical and Electronics Engineers, 2019, 67 (5), pp.1753-1765. ⟨10.1109/TMTT.2019.2899848⟩. ⟨hal-02123853⟩



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