• DocumentCode
    3467140
  • Title

    Robust velocity measurement for railway applications by fusing eddy current sensor signals

  • Author

    Geistler, A. ; Böhringer, E.

  • Author_Institution
    Inst. fur Mess- und Regelungstechnik, Karlsruhe Univ., Germany
  • fYear
    2004
  • fDate
    14-17 June 2004
  • Firstpage
    664
  • Lastpage
    669
  • Abstract
    A robust odometer function providing a precise location information is a key element for modern on-board train location systems. In this paper, a robust and reliable velocity measurement with an eddy current sensor system is proposed. The sensor system is suitable especially for railway applications as no further installations are required on the track beyond the currently existing infrastructure. Two different methods of velocity measurement based on the eddy current sensor system are presented. As the system consists of two sensors in direction of movement, the most common way is a cross-correlation of the sensor signals to obtain the vehicle velocity. In addition, the shape of the sensor signals allows a frequency analysis, yielding an alternative measurement of the velocity. Fusing the velocity data in a Kalman filter provides an exact and precise location information of increased reliability.
  • Keywords
    Kalman filters; correlators; distance measurement; electric sensing devices; filtering theory; railways; sensor fusion; velocity measurement; Kalman filter; cross correlation; data fusion; eddy current sensor signals; eddy current sensor system; frequency analysis; onboard train location systems; precise location information; railway; robust odometer function; robust vehicle velocity measurement; sensor signals; Clamps; Eddy currents; Frequency; Magnetic sensors; Rail transportation; Robustness; Sensor systems; Sensor systems and applications; Velocity measurement; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2004 IEEE
  • Print_ISBN
    0-7803-8310-9
  • Type

    conf

  • DOI
    10.1109/IVS.2004.1336463
  • Filename
    1336463