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In this PhD thesis, a set of five 3-D near-field imaging algorithms is introduced, each satisfying different requirements in terms of computational costs, quality of the resulting imagery, type of the scanning geometry, and implementation complexity. These algorithms are all tested by means of numerical simulations and, most important, radar measurements in the European Microwave Signature Laboratory. At first, a novel 3-D near-field radar imaging technique based on the range migration algorithm, which requires frequency domain backscatter data acquired on a 2-D planar aperture, is presented. The use of the proposed back propagation technique with targets electrically very large is computationally costly. Two alternative solutions are suggested.

Finally, a subsurface sensing algorithm that corrects for the effects of refraction and dispersion is outlined. This imaging algorithm is especially tailored for a forward-looking stand-off platform. In addition, a simple and effective characterization technique is used to retrieve the dielectric permittivity of the medium surrounding the subsurface objects. .

Additional information

Authors: FORTUNY J, University of Karlsruhe, Faculty of Electrical Engineering (DE)
Bibliographic Reference: EUR 19942 EN (2001), pp. 133. Euro: Free of charge
Availability: Available from JRC Information & Public Relations Unit, European Commission. Fax: +32-2-2996322 and JRC Information & Public Relations Unit, Ispra (IT) Fax: +39-0332-785409
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