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]
File in questo prodotto:
File Dimensione Formato  
Compressive Sensing-Based Born Iterative Method for Tomographic Imaging.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.66 MB
Formato Adobe PDF
3.66 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/234738
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 25
  • ???jsp.display-item.citation.isi??? 22
social impact