• DocumentCode
    2426394
  • Title

    Passive tracking using TDOA for super-low-altitude target

  • Author

    Wu, Panglong ; Bo, Yuming ; Kong, Jianshou ; Li, Xingxiu

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    682
  • Lastpage
    685
  • Abstract
    A novel near-space floating platform aided passive location method for super-low-altitude target using time difference of arrival(TDOA) is proposed. The new method uses a near-space floating platform as the baseline in the height to form a redundant location system consisting of several subsystems. Each subsystem can obtain a set of location results with ambiguity. After eliminating the ambiguity by the nearest matching, the new method can improve the location accuracy in the whole observed airspace by simplified weighted least square(SWLS) fusion. A better tracking performance can be achieved by treating the SWLS fusion location result as pseudo-linear measurement, and keeping the tracking through Kalman filter. Simulation results show that the proposed method comes to stabilization within 40s and has higher tracking precision than the SWLS method.
  • Keywords
    Kalman filters; least squares approximations; target tracking; time-of-arrival estimation; Kalman filter; TDOA; near-space floating platform aided passive location method; passive tracking; pseudolinear measurement; redundant location system; simplified weighted least square fusion; stabilization; super-low-altitude target; Accuracy; Equations; Mathematical model; Radar tracking; Signal processing; Simulation; Target tracking; Kalman filter; passive tracking; super-low-altitude target; time difference of arrival;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707261
  • Filename
    5707261