Sparse Tomographic Inverse Scattering Approach for Through-the-Wall Radar Imaging (Articolo in rivista)

Type
Label
  • Sparse Tomographic Inverse Scattering Approach for Through-the-Wall Radar Imaging (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIM.2012.2210454 (literal)
Alternative label
  • Soldovieri F 1; Solimene R 2; Ahmad F 3 (2012)
    Sparse Tomographic Inverse Scattering Approach for Through-the-Wall Radar Imaging
    in IEEE transactions on instrumentation and measurement
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Soldovieri F 1; Solimene R 2; Ahmad F 3 (literal)
Pagina inizio
  • 3340 (literal)
Pagina fine
  • 3350 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 61 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 12 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1. CNR, Inst Electromagnet Sensing Environm, I-80124 Naples, Italy; 2. Univ Naples 2, Dipartimento Ingn Informaz, I-81031 Aversa, Italy; 3. Villanova Univ, Ctr Adv Commun, Radar Imaging Lab, Villanova, PA 19085 USA (literal)
Titolo
  • Sparse Tomographic Inverse Scattering Approach for Through-the-Wall Radar Imaging (literal)
Abstract
  • We present a sparse tomographic inverse scattering approach for application in through-the-wall radar imaging, which enables reduction in data acquisition time and fast investigation of very large multi-targets domains, while maintaining a reasonable image quality. The imaging technique achieves fast 3-D scene reconstructions using a linear inverse scattering algorithm based on truncated singular value decomposition (SVD), combined with a 2-D sliced approach. The SVD of the integral equation relevant to the imaging system is used to guide the reduction in the number of data measurements. Performance of the proposed sparse scheme is evaluated using experimental data. (literal)
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