TY  - RPRT
ID  - elediasc12733
A1  - Salucci, M.
A1  - Poli, L.
A1  - Anselmi, N.
A1  - Massa, A.
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)  
AV  - public
UR  - http://www.eledia.org/students-reports/733/
Y1  - 2016///
TI  - An Innovative Particle Swarm Optimization?Based Approach for GPR Microwave Imaging
N2  - This work presents an innovative microwave imaging technique for accurate and robust subsurface imaging. The proposed approach is based on the integration of a customized particle swarm optimization (PSO) algorithm within the iterative multi-scaling approach (IMSA), and exploits multiple frequency components extracted from ground penetrating radar (GPR) wideband data. The solution of the arising inverse scattering problem is yielded within a multi-frequency (MF) approach, allowing to exploit the intrinsic frequency diversity of GPR measurements in order to add information and mitigate the ill-posedness and non-linearity issues. Some numerical experiments are shown in order to assess the effectiveness of the proposed MF-IMSA-PSO method when dealing with the retrieval of unknown buried scatterers having different shape. Moreover, a comparison to a competitive state-of-the-art deterministic approach is shown, in order to highlight the benefits of exploiting a global optimization algorithm in minimizing the MF cost function.
M1  - technical_report
ER  -