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In this paper the imaging of Ground Penetrating Radar (GPR) scenario via Kirchhoff migration (KM) method is seen as a validation of the controlled experimental data and as a first step toward more elaborate imaging techniques. One of our goals is to have the possibility to acquire experimental data in a controlled laboratory environment. The bi-static GPR data is then acquired and validated by comparison...
An innovative ground penetrating radar (GPR) inverse scattering (IS) methodology for imaging sparse buried objects is proposed. The developed methodology integrates a customized Bayesian compressive sensing (BCS) solver within a frequency hopping (FH) strategy in order to (i) regularize the IS problem by enforcing sparsity priors on the unknown scatterers as well as to (ii) exploit the multi-chromatic...
An advanced imaging procedure for Ground Penetrating Radar (GPR) operating in contactless configuration, i.e., when data are collected at a certain distance from the air-soil interface, is proposed in this contribution. The algorithm is based on an advanced implementation of a microwave tomographic approach recently proposed by the authors, which is capable of accounting for the near-field distribution...
Interaction of an un ultra-wideband source with buried cylinders is solved with a time-domain formulation of the Cylindrical Wave Approach. The pulsed excitation typical of remote sensing with the Ground Penetrating Radar can be implemented, i.e., the Gaussian monocycle or Gaussian doublet waveforms. The analysis is developed in the frequency domain, and spectra of the scattered field contributions...
Radars typically handle big data, and ways need to be developed to speed the data acquisition and processing. Here, we present methods to speed up step frequency continuous wave radar (SFCW) performance upon using multi-channels, compressive sensing algorithms, in addition to efficient OMP algorithms, and accelerated platforms for signal reconstruction based on FPGAs and GPUs.
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