TY  - RPRT
ID  - elediasc12742
A1  - Anselmi, N.
A1  - Oliveri, G.
A1  - Hannan, M.
A1  - Salucci, M.
A1  - Massa, A.
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
UR  - http://www.eledia.org/students-reports/742/
Y1  - 2017///
TI  - Innovative Alphabet?Based Bayesian Compressive Sensing Technique for Imaging Targets with Arbitrary Shape
N2  - In this work an innovative two-dimensional (2D) microwave imaging technique exploiting Bayesian Compressive Sensing (BCS) and a wavelet-based alphabet for representing the problem unknowns is dealt with. The proposed approach is based on the generalization of the sparsity concept, extending the range of applicability of BCS-based inverse scattering (IS) techniques to objects with arbitrary shape and dimensions. A set of BCS reconstructions is performed considering different expansion bases in the alphabet, without the need for a-priori knowledge about the unknown scatterers. Then, the best reconstruction is recognized as that minimizing the number of non-null retrieved coefficients (i.e., the sparsest one). In order to verify the effectiveness of the proposed imaging technique, a set of representative numerical benchmarks is presented. Some comparisons with state-of-the-art IS techniques are presented, as well.
M1  - technical_report
ER  -