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.

Compressive Sensing-Based Born Iterative Method for Tomographic Imaging / Oliveri, Giacomo; Poli, Lorenzo; Anselmi, Nicola; Salucci, Marco; Massa, Andrea. - In: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. - ISSN 0018-9480. - STAMPA. - 2019, 67:5(2019), pp. 1753-1765. [10.1109/TMTT.2019.2899848]

Compressive Sensing-Based Born Iterative Method for Tomographic Imaging

Oliveri, Giacomo;Poli, Lorenzo;Anselmi, Nicola;Salucci, Marco;Massa, Andrea
2019-01-01

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.
2019
5
Oliveri, Giacomo; Poli, Lorenzo; Anselmi, Nicola; Salucci, Marco; Massa, Andrea
Compressive Sensing-Based Born Iterative Method for Tomographic Imaging / Oliveri, Giacomo; Poli, Lorenzo; Anselmi, Nicola; Salucci, Marco; Massa, Andrea. - In: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. - ISSN 0018-9480. - STAMPA. - 2019, 67:5(2019), pp. 1753-1765. [10.1109/TMTT.2019.2899848]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/234738
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