• DocumentCode
    39561
  • Title

    Late-Time Estimation for Resonance-Based Radar Target Identification

  • Author

    Hargrave, Chad O. ; Clarkson, I. Vaughan L. ; Hoi-Shun Lui

  • Author_Institution
    Energy Flagship, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Brisbane, QLD, Australia
  • Volume
    62
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    5865
  • Lastpage
    5871
  • Abstract
    This communication presents a novel method for determining the commencement of the late-time resonant response of a radar target, without a priori knowledge of the target geometry or orientation. Insights from Kronecker´s theorem for Hankel matrices are used to determine the offset for the processing window for extraction of the true complex natural resonances by exploiting characteristic changes in the Hankel matrix, including the matrix rank and the distribution of eigenvalues. Results are presented for both simulated and measured targets.
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; radar target recognition; Hankel matrices; Kronecker theorem; late-time estimation; late-time resonant response; matrix rank; radar target identification; target geometry; target orientation; Antenna measurements; Eigenvalues and eigenfunctions; Estimation; Floors; Geometry; Noise; Scattering; Hankel matrices; natural resonances; radar signature; radar target recognition;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2014.2350507
  • Filename
    6881689