Advances on compressive sensing based approaches for inverse scattering

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.
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Contributor : Andrea Massa <>
Submitted on : Friday, January 29, 2016 - 4:10:12 PM
Last modification on : Thursday, February 21, 2019 - 10:50:30 AM

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Lorenzo Poli, Toshifumi Moriyama, Giacomo Oliveri, Federico Viani, Andrea Massa. Advances on compressive sensing based approaches for inverse scattering. 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Jul 2015, Vancouver, Canada. ⟨10.1109/APS.2015.7304581⟩. ⟨hal-01264739⟩

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