Salucci, M. and Poli, L. and Anselmi, N. and Massa, A. (2016) An Innovative Multi-Frequency PSO-Based Method for the Microwave Imaging of Buried Objects having Different Conductivities. Technical Report. University of Trento.
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An Innovative Multi‐Frequency PSO‐Based Method for the Microwave Imaging of Buried Objects having Different Conductivities.pdf Download (1MB) | Preview |
Abstract
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.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency (MF), Particle Swarm Optimization (PSO), Stochastic Optimization, Wide-band Data, Iterative Multi Scaling Approach (IMSA) |
| Subjects: | A Areas > A WC Next Generation Wireless Communications M Methodologies > M EA Evolutionary Algorithms |
| URI: | http://www.eledia.org/students-reports/id/eprint/736 |
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