• DocumentCode
    2386561
  • Title

    Non-linear system/linear measurements approach to passive position location using extended Kalman filtering

  • Author

    Challa, S. ; Faruqi, F.A.

  • Author_Institution
    QUT, Signal Processing Res. Center, Brisbane, Qld., Australia
  • Volume
    2
  • fYear
    1996
  • fDate
    26-29 Nov 1996
  • Firstpage
    665
  • Abstract
    In solving navigation and tracking problems it has been a widely held view that only the linear system/nonlinear measurement approach is feasible and that it is extremely difficult to derive a non-linear system linear measurements model. Contrary to this view we present here a very simple non-linear system linear measurements model for passive position location problem and apply an extended Kalman filter (EKF) for obtaining position estimates of a stationary emitter. The tabulated results obtained from the Monte Carlo simulations clearly indicate its superiority over the linear system non-linear measurements approach. The problem of a stationary signal being received by a moving aircraft is discussed
  • Keywords
    Kalman filters; Monte Carlo methods; estimation theory; nonlinear filters; nonlinear systems; radio direction-finding; radionavigation; tracking; Monte Carlo simulation; aircraft; extended Kalman filtering; navigation; nonlinear system/linear measurements approach; passive position location; position estimates; stationary emitter; tracking; Aircraft navigation; Filtering; Kalman filters; Least squares methods; Linear systems; Motion planning; Noise measurement; Nonlinear equations; Nonlinear filters; Position measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-3679-8
  • Type

    conf

  • DOI
    10.1109/TENCON.1996.608422
  • Filename
    608422