• DocumentCode
    2668133
  • Title

    Variance estimation for a radar tracking system

  • Author

    Yao, Jianping ; Chin, Leonard

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    353
  • Lastpage
    357
  • Abstract
    In this paper, an approach for the estimation of the variance Q and R of the process noise W(k) and the measurement noise V(k) for radar tracking systems is presented. In the proposed algorithm, the variance Q and R are expressed as a linear combination of the covariances of the third-order difference of the measurement data. The variances can then be calculated by simply solving the matrix equation. The two cases for the measurement noise being white and color are considered in this algorithm. Simulation results showed that for both cases the steady estimation is reached after 20 samples
  • Keywords
    Kalman filters; filtering theory; matrix algebra; noise; radar tracking; target tracking; Kalman filter; color noise; matrix algebra; measurement noise; process noise; radar tracking system; variance estimation; white noise; Acceleration; Accelerometers; Equations; Filtering; Kalman filters; Noise measurement; Q measurement; Radar tracking; Technological innovation; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-5256-4
  • Type

    conf

  • DOI
    10.1109/IDC.1999.754183
  • Filename
    754183