This contribution is aimed at investigating the potentialities and current limitations of the multiscale particle swarm method when processing multi- frequency data scattered by three-dimensional structures. Such a global optimization approach demonstrated its effectiveness in solving complex two- dimensional imaging problems. Therefore, it has been suitably-modified for dealing with three-dimensional geometries and integrated into multi-frequency inversion schemes. Selected numerical results are shown in order to allow a preliminary evaluation of the reconstruction accuracy of the proposed implementations.

Imaging Three-dimensional Bodies by Processing Multi-frequency Data through a Multiscale Swarm Intelligence Based Method

Franceschini, Davide;Franceschini, Gabriele;Donelli, Massimo;Rocca, Paolo;Massa, Andrea
2007-01-01

Abstract

This contribution is aimed at investigating the potentialities and current limitations of the multiscale particle swarm method when processing multi- frequency data scattered by three-dimensional structures. Such a global optimization approach demonstrated its effectiveness in solving complex two- dimensional imaging problems. Therefore, it has been suitably-modified for dealing with three-dimensional geometries and integrated into multi-frequency inversion schemes. Selected numerical results are shown in order to allow a preliminary evaluation of the reconstruction accuracy of the proposed implementations.
2007
Antennas and Propagation Society International Symposium
Piscataway, NJ
IEEE
Franceschini, Davide; Franceschini, Gabriele; Donelli, Massimo; Rocca, Paolo; Massa, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/44823
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