• DocumentCode
    3291680
  • Title

    The method of multi-sensor time registration

  • Author

    Huang Xi-feng ; Wu Qin-zhang

  • Author_Institution
    Inst. of Opt. & Electron., Chinese Acad. of Sci., Chengdu, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    6268
  • Lastpage
    6271
  • Abstract
    To satisfy performance of time registration, some of multi-sensor registration algorithms are discussed and a least square fitting method based on sliding window is proposed. The polynomial curve is fitted in each sliding window of registration time around using least square. And then, the value of registration time is calculated in this curve to implement aligning the sensor data in time. Compared with the existing algorithms, it is suitable for application in real-time processing because of the adaptability, high precision and easy to realize. At last, simulation results are provided to verify the accuracy and effectiveness of the proposed algorithm.
  • Keywords
    curve fitting; least squares approximations; sensor fusion; least square fitting method; multisensor registration algorithms; polynomial curve fitting; real-time processing; sliding window; time registration; Fitting; Helium; Kalman filters; Monte Carlo methods; Optics; Polynomials; Signal processing algorithms; fusion center station; least-squares; multi-sensor; time registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778230
  • Filename
    5778230