TY  - RPRT
M1  - technical_report
N2  - This work presents an innovative microwave imaging technique for processing wide-band ground penetrating radar (GPR) data and solving the subsurface inverse scattering problem. The proposed technique is based on the integration of a customized stochastic solver based on the Particle Swarm Optimizer (PSO) with the iterative multi-scaling approach (IMSA). Moreover, the IMSA-PSO is nested within a frequency-hopping (FH) approach in order to exploit the frequency-diversity of GPR measurements as an additional source of information for regularizing the subsurface inverse scattering problem. Some preliminary numerical results are shown in order to assess the effectiveness of the proposed methodology, as well as to compare it to a single-resolution (BARE) implementation within the same framework.
TI  - Frequency?Hopping Multi?Resolution GPR Microwave Imaging Based on Stochastic Optimization
Y1  - 2016///
UR  - http://www.eledia.org/students-reports/731/
AV  - public
KW  - Ground Penetrating Radar (GPR)
KW  -  Inverse Scattering (IS)
KW  -  Frequency-Hopping (FH)
KW  -  Particle Swarm Optimization (PSO)
KW  -  Stochastic Optimization
KW  -  Wide-band Data
KW  -  Iterative Multi-Scaling Approach (IMSA)
PB  - University of Trento
A1  - Salucci, M.
A1  - Poli, L.
A1  - Anselmi, N.
A1  - Massa, A.
ID  - elediasc12731
ER  -