• DocumentCode
    2871936
  • Title

    Bi-station OTH radar locating and tracking using only range and Doppler measurements

  • Author

    Gong-jian, Zhou ; Tian-Jiao, Fu ; Chang-jun, Yu ; Tai-fan, Quan ; Nai-gang, Cui

  • Author_Institution
    Dept. of Electron. Eng., Harbin Inst. Of Technol., Harbin, China
  • Volume
    9
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Azimuthal measurements of the high frequency ground wave over-the-horizon (OTH) radar are either coarse or unavailable in an actual environment. It is very hard for a single station OTH radar to performance effective tracking under that condition. A bi-station OTH radar system is proposed to triangulate target tracks using range and Doppler measurements only. Multi-sensor data association and combining positioning are key issues of this system. This paper focuses on positioning and tracking filter algorithm. The locating and tracking model is established and the extended Kalman filter (EKF) is used to solve the bi-station nonlinear tracking problem. Simulation result shows that EKF can handle this well, and the bi-station OTH radar system can meet or slightly better than the accuracy of the conventional single station OTH radar tracking system with poor bearing resolution.
  • Keywords
    Kalman filters; radar tracking; Doppler measurement; azimuthal measurement; bi-station OTH radar locating; bi-station OTH radar system; bi-station OTH radar tracking; extended Kalman filter; high frequency ground wave over-the-horizon radar; multisensor data association; poor bearing resolution; positioning filter algorithm; tracking filter algorithm; tracking model; Doppler radar; Mathematical model; Radar antennas; Radar measurements; Radar tracking; Target tracking; OTH radar; bi-station tracking; extended Kalman filter; range-finding location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5623078
  • Filename
    5623078