DocumentCode :
827032
Title :
Localizing Thin Metallic Cylinders by a 2.5-D Linear Distributional Approach: Experimental Results
Author :
Solimene, Raffaele ; Brancaccio, Adriana ; Romano, Jessica ; Pierri, Rocco
Author_Institution :
Dipt. di Ing. dell´´Inf., Seconda Univ. di Napoli, Aversa
Volume :
56
Issue :
8
fYear :
2008
Firstpage :
2630
Lastpage :
2637
Abstract :
The problem of detecting and localizing "thin" metallic scatterers from electromagnetic scattered field measurements is addressed. The scatterers are assumed to be infinitely long and a 2.5-dimensional mathematical model is adopted. According to the distributional approach, the problem is cast as the inversion of a linear integral operator acting on 6-distributions whose supports are representative of the scatterers\´ locations. In this paper we present the experimental validation of such an approach. To this end, we perform the reconstructions by exploiting experimental scattered field data collected in controlled conditions at the electromagnetic diagnostics laboratory of the Second University of Naples. The experiments are conducted in an anechoic chamber where the scatterers are embedded in a homogenous and lossless background medium. The multistatic/single-view/multifrequency and the multistatic/multiview/multifrequency configurations are both considered.
Keywords :
anechoic chambers (electromagnetic); electromagnetic wave scattering; integral equations; inverse problems; mathematical operators; 2.5D linear distributional approach; anechoic chamber; electromagnetic scattered field measurement; inversion problem; linear integral operator; mathematical model; multistatic/multiview/multifrequency configuration; multistatic/single-view/multifrequency configuration; thin metallic cylinder localization; Electromagnetic fields; Electromagnetic measurements; Electromagnetic scattering; Ground penetrating radar; Image reconstruction; Inverse problems; Kirchhoff´s Law; Mathematical model; Optical scattering; Radar scattering; Experimental data; linear inverse scattering problem; singular value decomposition (SVD);
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2008.927506
Filename :
4589139
Link To Document :
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