TY  - RPRT
ID  - elediasc12736
A1  - Salucci, M.
A1  - Poli, L.
A1  - Anselmi, N.
A1  - Massa, A.
AV  - public
PB  - University of Trento
KW  - Ground Penetrating Radar (GPR)
KW  -  Inverse Scattering (IS)
KW  -  Multi-Frequency (MF)
KW  -  Particle Swarm Optimization (PSO)
KW  -  Stochastic Optimization
KW  -  Wide-band Data
KW  -  Iterative Multi Scaling Approach (IMSA) 
TI  - An Innovative Multi-Frequency PSO-Based Method for the Microwave Imaging of  
Buried Objects having Different Conductivities 
UR  - http://www.eledia.org/students-reports/736/
Y1  - 2016///
M1  - technical_report
N2  - In this work, an innovative particle swarm optimization (PSO)-based microwave imaging approach is presented to solve the subsurface inverse scattering problem. The proposed MF-IMSA-PSO method integrates a customized PSO solver within a multi-scaling technique (i.e., the IMSA) in order to limit the ratio between problem unknowns and non-redundant data, mitigating the negative effects of both non-linearity and ill-posedness through the exploitation of progressively acquired information about the solution. Moreover, the inversion is performed by considering  a multi-frequency (MF) solution strategy, by jointly processing several frequency components extracted from the spectrum of the measured data through ground penetrating radar (GPR). Some numerical results are shown  in order to verify the effectiveness of the developed GPR microwave imaging technique when dealing with objects having a conductivity different from that of the hosting (lossy) soil.
ER  -