TY  - RPRT
N2  - This work deals with an innovative two-dimensional (2D) free-space microwave imaging technique. The developed inverse scattering (IS) technique is aimed at enabling Compressive Sensing (CS) to deal with the retrieval of unknown scatterers which are not necessarily sparse in the standard sense, i.e., in the pixel domain. Accordingly, the proposed technique exploits a user-defined dictionary of expansion bases that are used to retrieve several guesses of the electromagnetic properties of the investigation domain. Then, following the BCS paradigm, the sparsest solution is recognized as the optimal one. Some numerical results are presented, in order to verify the effectiveness of the proposed IS technique for imaging scatterers with arbitrary size and shape.
M1  - technical_report
Y1  - 2017///
UR  - http://www.eledia.org/students-reports/743/
TI  - Extending the Applicability Range of Compressive Sensing?Based Microwave Imaging to Arbitrary Scatterers
KW  - Inverse Scattering (IS)
KW  -  Bayesian Compressive Sensing (BCS)
KW  -  Microwave Imaging
KW  -  First Order Born Approximation
PB  - ELEDIA Research Center - University of Trento
AV  - public
A1  - Anselmi, N.
A1  - Oliveri, G.
A1  - Hannan, M.
A1  - Salucci, M.
A1  - Massa, A.
ID  - elediasc12743
ER  -