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
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;
Conference_Titel :
Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
Conference_Location :
Antibes Juan-les-Pins
DOI :
10.1109/CAMA.2014.7003415