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A Numerical Approach to Microwave Imaging

Authors: S. Caorsi; GRAGNANI, GIAN LUIGI; PASTORINO, MATTEO;

A Numerical Approach to Microwave Imaging

Abstract

A numerical approach is proposed that aims to detect, by means of interrogating microwaves, the locations, shapes, and dielectric properties of unknown bodies inside an investigation volume. The integral vector equation of electromagnetic scattering is numerically inverted by the moment method in terms of the distribution of the equivalent electric current density vector for localization purposes; then, after using a suitable iterative procedure, the shaping process is performed. The dielectric properties of the localized and shaped bodies are obtained by relating the equivalent current density vector to the total electric field calculated inside them. The theoretical possibilities and limitations are considered regarding the use of the map of the distribution of such an equivalent current density to model a three-dimensional scene. Some numerical simulations are performed and the preliminary results show the capabilities of the proposed method (even when measurement errors and noise are taken into account) in a dielectric range for which the Born approximation does not hold.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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