2009
DOI: 10.2528/pier09101105
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Exploitation of Te-Tm Scattering Data for Microwave Imaging Through the Multi-Scaling Reconstruction Strategy

Abstract: Abstract-In this paper, the solution of two-dimensional inverse scattering problems is addressed by probing the unknown scenarios with T E and T M waves. To better exploit the information content of the scattered data the multi-zooming approach is used. The results of experiments with single as well as multiple scatterers are reported and discussed also in comparison with single-polarization inversions.

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Cited by 6 publications
(4 citation statements)
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“…in 2005 developed another innovative stochastic algorithm called the particle swarm optimizer (PSO) for the solution of microwave inverse scattering problem [ 90 ]. In 2011, this group tried to solve the 2D inverse scattering problem by probing the unknown scenarios with TE and TM waves with multi-zooming approach [ 91 ]. Besides those literatures, there is another excellent technical article published in 2006 by Langenberg et al ., who tried to unify the theory of electromagnetic, acoustic and elastic wave fields for imaging purposes with examples of bridge NDE [ 92 ].…”
Section: Techniques Based On Different Electromagnetic Frequenciesmentioning
confidence: 99%
“…in 2005 developed another innovative stochastic algorithm called the particle swarm optimizer (PSO) for the solution of microwave inverse scattering problem [ 90 ]. In 2011, this group tried to solve the 2D inverse scattering problem by probing the unknown scenarios with TE and TM waves with multi-zooming approach [ 91 ]. Besides those literatures, there is another excellent technical article published in 2006 by Langenberg et al ., who tried to unify the theory of electromagnetic, acoustic and elastic wave fields for imaging purposes with examples of bridge NDE [ 92 ].…”
Section: Techniques Based On Different Electromagnetic Frequenciesmentioning
confidence: 99%
“…The analysis of scattering from an arbitrary set of body-of-revolution (BOR) objects is crucial in many recent civil and military applications (e.g., antenna systems for wireless communication [1,2] or objects identification in radar systems [3][4][5]). This creates the demand for highly efficient and accurate analysis techniques of this phenomenon.…”
Section: Introductionmentioning
confidence: 99%
“…In order to avoid nonuniqueness and instability as well as to prevent the retrieval of false solutions [28], several inversion strategies have been proposed based on (a) a suitable definition of the integral equations either in exact [29,30] or approximated [31][32][33][34][35] forms to model the scattering phenomena, (b) the exploitation of the available a-priori information on some features of the scenario/scatterers under test [15,[36][37][38][39] or/and the knowledge of input-output samples of data and reference solutions [40][41][42] and/or the information acquired during the inversion process [43][44][45][46][47], and (c) the use of suitable global optimization strategies [48][49][50][51][52][53][54][55]. Whatever the approach, inversion methods generally consider an optimization step aimed at minimizing/maximizing a suitably defined data-mismatch cost function through gradient or evolutionarybased algorithms with still not fully resolved drawbacks.…”
Section: Introductionmentioning
confidence: 99%