eprintid: 369
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/03/69
datestamp: 2011-07-26
lastmod: 2013-07-03 08:40:11
status_changed: 2013-07-03 08:40:11
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Franceschini, Davide
creators_name: Benedetti, Manuel
creators_name: Donelli, Massimo
creators_name: Rocca, Paolo
creators_name: Massa, Andrea
title: Dealing with Aspect-Limited Data Through an Innovative Microwave Imaging Multi-Source Technique: Potentialities and Limitations
ispublished: pub
subjects: TU
full_text_status: public
abstract: In this contribution, an innovative methodology aimed at increasing the amount of scattering data (avoiding further a-]priori assumptions on the investigation domain) is analyzed. According to the multi-source (MS) approach, the investigation domain is illuminated by means of different probing sources, each of them characterized by a proper (and different) radiation pattern, to induce different scattering interactions able to "show" different "aspects" of the scatterer under test. Integrated with a multi-view strategy and recurring to the iterative multi-scaling procedure [Donelli et al., 2006], the exploitation of the "source diversity" (through the definition of a suitable multi-source/multi-view cost function) enlarges in a non-negligible fashion the number of retrievable unknowns by enhancing the robustness of the imaging process with respect to the noise and the stability of the inversion procedure as well as the reconstruction accuracy. Moreover, the reduction of the ratio between dimension of the space of the unknowns and that of data implies a decreased sensitivity to false solutions [Isernia et al., 2001] leading to a more tractable optimization problem. A large number of numerical simulations confirm the effectiveness of the inversion strategy as well as its robustness with respect to noise on data. Moreover, the results of a comparative study with single-source methodologies further point out the advantages and potentialities of the approach when dealing with aspect-limited data acquisition setups.
date: 2011-01
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
referencetext: Belkebir, K., R. Kleinman, and C. Pichot (1997), Microwave imaging Location and shape reconstruction from multifrequency scattering data, IEEE Trans. Microwave Theory Tech., 45, 469-475. Bucci, O.M., and T. Isernia (1997), Electromagnetic inverse scattering: retrievable information and measurements strategies, Radio Science, 2123-2138. Bucci, O. M., L. Crocco, T. Isernia, and V. Pascazio (2000), Inverse Scattering Problems with Multifrequency Data: Reconstruction Capabilities and Solution Strategies, IEEE Trans. Geosci. Remote Sensing, 38, 1749-1756. Caorsi, S., G. L. Gragnani, and M. Pastorino (1991), An approach to microwave imaging using a multiview moment method solution for a two-dimensional infinite cylinder, IEEE Trans. Microwave Theory Tech., 39, 1062-1067. Donelli, M., G. Franceschini, A. Martini, and A. Massa (2006), An integrated multi scaling strategy based on a particle swarm algorithm for inverse scattering problems, IEEE Trans. Geosci. Remote Sensing, 44, 298-312. Isernia, T., V. Pascazio, R. Pierri (2001), On the Local Minima in a Tomographic Imaging Technique, IEEE Trans. Geosci. Remote Sensing, 39, 1596-1607.
citation:   Franceschini, Davide and Benedetti, Manuel and Donelli, Massimo and Rocca, Paolo and Massa, Andrea  (2011) Dealing with Aspect-Limited Data Through an Innovative Microwave Imaging Multi-Source Technique: Potentialities and Limitations.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/369/1/DISI-11-237.C128.pdf