• DocumentCode
    353938
  • Title

    An application of generalized least squares bias estimation for over-the-horizon radar coordinate registration

  • Author

    Torrez, William C. ; Blasch, Erik

  • Author_Institution
    Div. of Signal Exploitation & Inf. Manage., Space & Naval Warfare Syst. Center, San Diego, CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    10-13 July 2000
  • Abstract
    Target and sensor geometry for a particular suite of over-the-horizon radars and a single target are given. Systematic positional differences between tracks seen from two separate radar sites can be used to improve the estimation of ionospheric parameters. In this paper a description of over-the-horizon radar propagation is provided and a method, given the target/sensor geometry, is described for estimating the range and azimuth biases resulting from errors in modeling the ionospheric fluctuations. Using the Generalized Least Squares Estimation method, a quantitative analysis of the improvements in tracking target positions in regions of overlapping coverage is given.
  • Keywords
    least squares approximations; radar signal processing; sensor fusion; bias estimation; generalized least squares; over-the-horizon radar coordinate registration; radar propagation; tracking target positions; Azimuth; Fluctuations; Geometry; Least squares approximation; Parameter estimation; Radar applications; Radar tracking; Sensor phenomena and characterization; Solid modeling; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
  • Conference_Location
    Paris, France
  • Print_ISBN
    2-7257-0000-0
  • Type

    conf

  • DOI
    10.1109/IFIC.2000.862679
  • Filename
    862679