• DocumentCode
    1653262
  • Title

    Correlation based velocity estimation during acceleration phases with application in rail vehicles

  • Author

    Strauss, Tobias ; Hasberg, Carsten ; Hensel, Stefan

  • Author_Institution
    Dept. of Meas. & Control, Univ. of Karlsruhe, Karlsruhe, Germany
  • fYear
    2009
  • Firstpage
    721
  • Lastpage
    724
  • Abstract
    A reliable and precise velocity measurement is an important component of new train location systems. Several ways of measurement, e.g. with an optical sensor, GPS and eddy current sensors have already been under examination. This paper covers the velocity determination via correlation analysis using the measurement data of an eddy current sensor system. The common cross correlation is well suited to measure constant speeds. However, during phases of acceleration it is not sufficient for good accuracy due to a signal warp. For this reason a model based approach for signal rewarp will be presented in this paper, that eliminates or at least minimizes the influence of acceleration. Besides its main application in signal pre-processing for the velocity determination via cross correlation, the results of this algorithm can afterwards be used as an estimation of the acceleration as well.
  • Keywords
    correlation methods; eddy currents; railways; velocity measurement; acceleration phases; correlation analysis; eddy current sensor system; rail vehicles; velocity estimation; velocity measurement; Acceleration; Current measurement; Eddy currents; Global Positioning System; Optical sensors; Phase estimation; Rails; Sensor systems; Vehicles; Velocity measurement; cross correlation; model based re-sampling; signal warp; velocity estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
  • Conference_Location
    Cardiff
  • Print_ISBN
    978-1-4244-2709-3
  • Electronic_ISBN
    978-1-4244-2711-6
  • Type

    conf

  • DOI
    10.1109/SSP.2009.5278456
  • Filename
    5278456