• DocumentCode
    1698535
  • Title

    Finding sensor trajectories for TDOA based localization — Preliminary considerations

  • Author

    Kaune, Regina

  • Author_Institution
    Dept. SDF, Univ. of Bonn, Wachtberg, Germany
  • fYear
    2012
  • Firstpage
    55
  • Lastpage
    59
  • Abstract
    Time Difference of Arrival (TDOA) measurements are gained in a network of sensors where a minimum of two sensors is required. Sensors receive the signal of an emitting target and determine the Time of Arrival (TOA) of the signal. Calculating the difference between pairs of TOAs yields TDOA measurements which describe hyperbolae or hyperboloids as possible target locations. The Cramer Rao Lower bound (CRLB) gives the optimal attainable localization accuracy based on a measurement sequence. It depends on the measurement function which reflects the sensors-emitter geometry, the measurement error and the number of measurements. The CRLB can be used to find future trajectories for moving sensors. In this paper, a sensor pair consisting of a moving and a stationary sensor is investigated which takes TDOA measurements of a stationary emitting target. The future trajectory of the moving sensor is determined based on target localization performance.
  • Keywords
    sensors; time-of-arrival estimation; Cramer Rao lower bound; TDOA based localization; hyperbolae; hyperboloids; measurement error; measurement function; measurement sequence; moving sensors; optimal attainable localization accuracy; sensor pair; sensor trajectory; sensors emitter geometry; stationary emitting target; stationary sensor; target localization performance; target location; time difference of arrival measurement; Approximation methods; Geometry; Optimization; Target tracking; Time measurement; Trajectory; Uncertainty; CRLB; TDOA; localization; optimization; trajectories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on
  • Conference_Location
    Bonn
  • Print_ISBN
    978-1-4673-3010-7
  • Type

    conf

  • DOI
    10.1109/SDF.2012.6327908
  • Filename
    6327908