• DocumentCode
    1867997
  • Title

    Multi-sensor registration via fuzzy c-mean cluster

  • Author

    Zhang, Gaoyu ; Yang, Wanhai

  • Author_Institution
    Sch. of Electron. Eng., Xidian Univ., Shaanxi
  • fYear
    2006
  • fDate
    19-21 Jan. 2006
  • Lastpage
    998
  • Abstract
    A new multi-sensor registration algorithm via fuzzy c-mean cluster is presented after analyzing some previous multi-sensor data registrations. In the case of multi-target the same frame measure data from multi-sensor are clustered via fuzzy c-mean algorithm to get the cluster centers as the ideal positions of targets. Then the certain sensor´s error estimation value for this frame is obtained by averaging this sensor´s errors corresponding to these ideal positions of targets. Finally these error estimations of certain sensor from each frame are averaged to accomplish the multi-sensor registration. The advantage of this algorithm are better real-timely and having nothing with the registration model. In the end the simulation result and analysis are given
  • Keywords
    error analysis; fuzzy set theory; pattern clustering; sensor fusion; target tracking; fuzzy c-mean cluster; multisensor data registration; sensor error estimation value; Algorithm design and analysis; Analytical models; Arithmetic; Clustering algorithms; Error analysis; Fuzzy neural networks; Kalman filters; Neural networks; Sensor systems; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7803-9395-3
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2006.1627491
  • Filename
    1627491