• 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