The application of the Compressive Sensing (CS) paradigm to the solution of three-dimensional inverse scattering problems is discussed. More in detail, the use of CS-based techniques to address linear and sparseness-regularized microwave imaging formulations is discussed, the application of this paradigm to the retrieval of 3D profiles which are voxel-sparse is addressed. A preliminary set of numerical examples is presented to point out advantages and limitations of the considered methodology.
Advances on compressive sensing based approaches for inverse scattering / Poli, Lorenzo; T., Moriyama; Oliveri, Giacomo; Viani, Federico; Massa, Andrea. - (2015), pp. 390-391. (Intervento presentato al convegno 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304581].
Advances on compressive sensing based approaches for inverse scattering
Poli, Lorenzo;T. Moriyama;Oliveri, Giacomo;Viani, Federico;Massa, Andrea
2015-01-01
Abstract
The application of the Compressive Sensing (CS) paradigm to the solution of three-dimensional inverse scattering problems is discussed. More in detail, the use of CS-based techniques to address linear and sparseness-regularized microwave imaging formulations is discussed, the application of this paradigm to the retrieval of 3D profiles which are voxel-sparse is addressed. A preliminary set of numerical examples is presented to point out advantages and limitations of the considered methodology.| File | Dimensione | Formato | |
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Advances on compressive sensing based approaches for inverse scattering.pdf
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