• DocumentCode
    3630663
  • Title

    Velocity Unfolding in Networked Radar System

  • Author

    Edin Insanic;Paul Siqueira

  • Author_Institution
    University of Massachusetts, Amherst, Department of Electrical and Computer Engineering, Microwave Remote Sensing Laboratory, Amherst, MA 01003. insanic@engin.umass.edu
  • Volume
    3
  • fYear
    2008
  • Abstract
    This paper presents an algorithm that derives the vector velocity estimate in a radar network environment considering the velocities that exceed the maximum unambiguous velocity of its observing sensor nodes. At first, an analytical derivation with underlying assumptions is presented and then simulation results are shown and discussed. This unfolding vector velocity algorithm is based on maximum likelihood theory operating on the first three weather radar spectral moments and can potentially provide a real time velocity detection of broader range of velocities than given by the nodal maximum unambiguous velocity.
  • Keywords
    "Doppler radar","Pulse measurements","Radio frequency","Maximum likelihood detection","Maximum likelihood estimation","Meteorological radar","Velocity measurement","Radar remote sensing","Radar detection","Atmosphere"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779547
  • Filename
    4779547