• DocumentCode
    1062560
  • Title

    An accurate algebraic solution for moving source location using TDOA and FDOA measurements

  • Author

    Ho, K.C. ; Xu, Wenwei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
  • Volume
    52
  • Issue
    9
  • fYear
    2004
  • Firstpage
    2453
  • Lastpage
    2463
  • Abstract
    This paper proposes an algebraic solution for the position and velocity of a moving source using the time differences of arrival (TDOAs) and frequency differences of arrival (FDOAs) of a signal received at a number of receivers. The method employs several weighted least-squares minimizations only and does not require initial solution guesses to obtain a location estimate. It does not have the initialization and local convergence problem as in the conventional linear iterative method. The estimated accuracy of the source position and velocity is shown to achieve the Crame´r-Rao lower bound for Gaussian TDOA and FDOA noise at moderate noise level before the thresholding effect occurs. Simulations are included to examine the algorithm´s performance and compare it with the Taylor-series iterative method.
  • Keywords
    Gaussian noise; iterative methods; least squares approximations; minimisation; receivers; signal processing; Cramer-Rao lower bound; FDOA; Gaussian noise; TDOA; Taylor-series iterative method; frequency differences of arrival; least-squares minimizations; linear iterative method; local convergence problem; location estimate; moving source location; time differences of arrival; Equations; Frequency measurement; Gaussian noise; Iterative methods; Minimization methods; Noise level; Position measurement; Radar tracking; Time measurement; Velocity measurement; FDOA; TDOA; least-squares; passive localization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.831921
  • Filename
    1323254