• DocumentCode
    2344810
  • Title

    Study on radar data processing algorithm with improved Kalman filter

  • Author

    Xinguo, Zhu ; Jie, Hong ; Wei, Cui

  • Author_Institution
    Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3826
  • Lastpage
    3829
  • Abstract
    A data processing algorithm for the tracking and measurement radar is presented in this paper. The proposed algorithm uses a 3rd order improved Kalman filter to implement federal filter for the range and velocity measurements, which can stably track the range and velocity, and can also accurately estimate the acceleration; on the other hand, the proposed algorithm uses two 2nd order improved Kalman filters with the same structure to implement filters for the elevation angle measurements and the azimuth angle measurements respectively, which can effectively ensure the measurement accuracies of the angle and the angular velocity. The experimental results indicate that the proposed algorithm can attain high accuracy of tracking and measurement for the range and the velocity, and that it also has high tracking accuracy for static, uniform, uniformly accelerated angular motion.
  • Keywords
    Kalman filters; distance measurement; radar signal processing; radar tracking; velocity measurement; Kalman filter; federal filter; radar data processing algorithm; radar tracking; range measurements; velocity measurement; Acceleration; Accelerometers; Angular velocity; Azimuth; Data processing; Filters; Goniometers; Radar measurements; Radar tracking; Velocity measurement; Kalman filter; radar data processing; state noise estimation; tracking and measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138922
  • Filename
    5138922