DocumentCode :
1790748
Title :
A (CS)2 approach to inverse scattering
Author :
Bevacqua, M. ; Isernia, Tommaso ; Crocco, L. ; Di Donato, Loreto
Author_Institution :
DIIES, Univ. “Mediterranea” Reggio di Calabria, Reggio Calabria, Italy
fYear :
2014
fDate :
16-19 Nov. 2014
Firstpage :
1
Lastpage :
3
Abstract :
An innovative approach exploiting the Compressive Sensing theory in the solution of the non linear inverse scattering problem is presented. In fact, the proposed approach tackles the inverse problem in its full non linearity by adopting a Contrast-Source Inversion method. In particular, the problem is formulated as a minimization of a proper functional into a convex set defined by the i1-norm of the unknown.
Keywords :
compressed sensing; convex programming; inverse problems; minimisation; CS2; compressive sensing theory; contrast-source inversion method; convex set; l1-norm; nonlinear inverse scattering problem; proper functional minimization; Antennas; Approximation methods; Compressed sensing; Image reconstruction; Inverse problems; Minimization; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
Conference_Location :
Antibes Juan-les-Pins
Type :
conf
DOI :
10.1109/CAMA.2014.7003415
Filename :
7003415
Link To Document :
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