Visible to the public Simulation of scattering by cylindrical targets hidden behind a layer

TitleSimulation of scattering by cylindrical targets hidden behind a layer
Publication TypeConference Paper
Year of Publication2014
AuthorsPonti, C., Pajewski, L., Schettini, G.
Conference NameGround Penetrating Radar (GPR), 2014 15th International Conference on
Date PublishedJune
Keywordsanalytical-numerical technique, Atmospheric modeling, buried object detection, buried objects, buried targets, cylindrical targets, cylindrical wave approach, Dielectrics, Electromagnetic scattering, electromagnetic wave scattering, fourier analysis, geophysical techniques, hidden objects, hidden scatterers, image processing, inversion algorithms, numerical analysis, object retrieval, reliability, scattering models, Slabs, through-wall imaging applications, through-wall scattering, through-wall sensing
Abstract

Through-wall sensing of hidden objects is a topic that is receiving a wide interest in several application contexts, especially in the field of security. The success of the object retrieval relies on accurate scattering models as well as on reliable inversion algorithms. In this paper, a contribution to the modeling of direct scattering for Through-Wall Imaging applications is given. The approach deals with hidden scatterers that are circular cross-section metallic cylinders placed below a dielectric layer, and it is based on an analytical-numerical technique implementing Cylindrical Wave Approach. As the burial medium of the scatterers may be a dielectric of arbitrary permittivity, general problems of scattering by hidden objects may be considered.When the burial medium is filled with air, the technique can simulate objects concealed in a building interior. Otherwise, simulation of geophysical problems of targets buried in a layered soil can be performed. Numerical results of practical cases are reported in the paper, showing the potentialities of the technique for its use in inversion algorithms.

DOI10.1109/ICGPR.2014.6970486
Citation Key6970486