• DocumentCode
    1608516
  • Title

    An approach to ground moving target indication (GMTI) using multiple resolutions of the clutter covariance matrix

  • Author

    Akers, Geoffrey A. ; Stiles, James M.

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., Univ. of Kansas, Lawrence, KS
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an approach to simultaneous ground moving target indication (GMTI) and synthetic aperture radar (SAR) imaging that promises to outperform current space-time adaptive processing (STAP) GMTI techniques when jamming is not present. An inherent weakness in STAP is its inability to directly estimate the scattering statistics from nonmoving objects in the region under test. A SAR image is a measure of the scattering intensity from an illuminated area on Earth assuming everything in the scene is stationary; therefore, it provides the estimate of scattering from nonmoving targets required for GMTI. Since the homogeneity of the scattering statistics over the scene are unknown, using multiple spatial resolutions of the SAR image to estimate the scattering statistics results in more confidence in the final detection decision.
  • Keywords
    covariance matrices; electromagnetic wave scattering; object detection; radar clutter; radar imaging; radar resolution; statistical analysis; synthetic aperture radar; GMTI; SAR imaging; clutter covariance matrix; ground moving target indication; multiple spatial resolutions; nonmoving objects; scattering statistics; synthetic aperture radar; Area measurement; Clutter; Covariance matrix; Jamming; Layout; Radar scattering; Statistical analysis; Statistics; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009 IEEE
  • Conference_Location
    Pasadena, CA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-2870-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2009.4977036
  • Filename
    4977036