• DocumentCode
    578258
  • Title

    Study on a real-time optimal multi-sensor asynchronous data fusion algorithm

  • Author

    Guoqing, Qi ; Yinya, Li ; Andong, Sheng

  • Author_Institution
    Autom. Sch., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    4362
  • Lastpage
    4367
  • Abstract
    Oriented on asynchronous data in multi-sensor data fusion system, a real-time fusion architecture is put forward, which is in unbiased minimum variance sense. The proposed asynchronous fusion algorithm can solves the measurements sequentially that does not need to preset fusion periods for fusion center to synchronize asynchronous data transmitted from multi sensors. Simulation result has proven the efficiency of the algorithm, and it also illustrates that the algorithm can improve the estimation precision obviously when the target is maneuvering and there is system error in measurement.
  • Keywords
    sensor fusion; synchronisation; asynchronous data synchronization; estimation precision improvement; fusion center; fusion periods; maneuvering target; real-time optimal multisensor asynchronous data fusion algorithm; system error; unbiased minimum variance; Algorithm design and analysis; Estimation error; Noise; Sensor fusion; Asynchronous data; Multi-sensor Data Fusion; Unbiased estimation;
  • 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.2012.6359214
  • Filename
    6359214