• DocumentCode
    577836
  • Title

    Study on time registration method for photoelectric theodolite data fusion

  • Author

    Yang hong-tao ; Gao Hui-bin

  • Author_Institution
    Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    3137
  • Lastpage
    3139
  • Abstract
    In range measurement, theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system, the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm,which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method.
  • Keywords
    measurement systems; neural nets; optical images; photoelectricity; radar computing; radar tracking; real-time systems; sensor fusion; target tracking; theodolites; wavelet transforms; fusion center; measurement system; multisensor data; photoelectric theodolite data fusion; radar constitute; range measurement; real-time tracking system; sampling frequency; theodolite constitute; theodolite fusion tracking; time registration method; wavelet neural network algorithm; Biological neural networks; Optical variables measurement; Radar tracking; Target tracking; Theodolites; Wavelet analysis; Photoelectric Theodolite; Time Registration; Wavelet Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358411
  • Filename
    6358411