• DocumentCode
    544150
  • Title

    3-D Imaging by hierarchical disaggregation

  • Author

    Schnattinger, Georg ; Schmidt, Carsten H. ; Eibert, Thomas F.

  • Author_Institution
    Lehrstuhl fur Hochfrequenztech., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2011
  • fDate
    14-16 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new accelerated method for generating a fully polarimetric 3-D image of an arbitrary current distribution is proposed. The sampled farfield radiation pattern is sufficient for the reconstruction of the image. The algorithm is based on a coherent summation of the fully polarimetric plane wave spectrum. The processing of the spectrum is accelerated by a Multi-Level Fast Multipole Method-inspired hierarchical disaggregation. Therefore, the complexity of the algorithm is only O(NlogN), where N refers to the number of field samples. This complexity is identical to that of FFT accelerated 3-D inverse synthetic aperture radar imaging (ISAR) techniques. But in contrast to these techniques, our approach does not require Cartesian reformatting of the plane wave spectrum and can therefore be neatly combined with Nearfield-Farfield-Transformation to provide nearfield imaging.
  • Keywords
    antenna radiation patterns; antenna testing; image reconstruction; microwave imaging; microwave measurement; polarimetry; 3D imaging; accelerated method; antenna measurements; antenna radiation patterns; current distribution; farfield radiation pattern; fully polarimetric 3D image; hierarchical disaggregation; image reconstruction; multilevel fast multipole method; polarimetric plane wave spectra; Acceleration; Antenna measurements; Antennas; Complexity theory; Current distribution; Imaging; Antenna measurements; Antenna radiation patterns; Anterpolation; Backpropagation; Hierarchical Disaggregation; Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (GeMIC), 2011 German
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-9225-1
  • Electronic_ISBN
    978-3-9812668-3-2
  • Type

    conf

  • Filename
    5760760