• DocumentCode
    151615
  • Title

    SLAM for pseudolite system comprising unsynchronised transmitters

  • Author

    Patino-Studencka, Lucila ; Thielecke, Jorn ; Rohmer, Gunter

  • Author_Institution
    Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper the application of Simultaneous Localization and Mapping (SLAM) algorithms to a proprietary pseudolite system is presented. Time of Arrival measurements of multiple unsynchronised radio transmitters at reference rover positions are combined using an extended Kalman filter, in order to simultaneously localize both transmitters and movable receiver. In the case of unsynchronised transmitters, the SLAM approach must be adapted because the measurements from rover and transmitters are not simultaneously available, so that time constraints of the sensors must be taken into account and the measurements must be processed sequentially. Considerations relating to observability of the state variables are addressed. The efficiency of the algorithm is demonstrated using simulation data.
  • Keywords
    Kalman filters; SLAM (robots); mobile robots; nonlinear filters; radio receivers; radio transmitters; sensors; time-of-arrival estimation; SLAM; extended Kalman filter; movable receiver; multiple unsynchronised radio transmitters; pseudolite system; sensors; simultaneous localization and mapping algorithms; time of arrival measurements; unsynchronised transmitters; Clocks; Convergence; Global Positioning System; Position measurement; Receivers; Simultaneous localization and mapping; Transmitters; SLAM; sequential Kalman filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
  • Conference_Location
    Bonn
  • Type

    conf

  • DOI
    10.1109/SDF.2014.6954721
  • Filename
    6954721