• DocumentCode
    549095
  • Title

    Altitude estimation for 3-D tracking with two 2-D radars

  • Author

    Rakvongthai, Yothin ; Ru, Jifeng ; Sivananthan, Siva ; Oraintara, Soontorn

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper first proposes a method to estimate the altitude of an aircraft using two 2-D radars for Air Traffic Control (ATC) applications. Assuming that the aircraft flies with a nearly constant velocity and nearly constant height, we first estimate its velocity, initial position in 3-D coordinates from the measurements of two 2-D radars using a maximum likelihood estimator. Next, we incorporate the estimates as initial values for 3-D flight tracking that uses an extended Kalman filter (EKF). Furthermore, a multiple model approach is adopted to further improve the tracking performance. The simulation results are shown to demonstrate the effectiveness of the proposed method.
  • Keywords
    Kalman filters; air traffic control; aircraft; height measurement; parameter estimation; radar tracking; 2D radars; 3D flight tracking; 3D tracking; air traffic control; aircraft; altitude estimation; extended Kalman filter; maximum likelihood estimator; position estimation; velocity estimation; Aircraft; Maximum likelihood estimation; Radar measurements; Radar tracking; Target tracking; 3-D target tracking; Altitude estimation; extended Kalman filtering; parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977530