• DocumentCode
    2579265
  • Title

    Adaptive data fusion

  • Author

    Hong, Lang

  • Author_Institution
    Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
  • fYear
    1991
  • fDate
    13-16 Oct 1991
  • Firstpage
    767
  • Abstract
    An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple sensors. The algorithm is general, computationally efficient, and very suitable for dynamic sensor fusion. The effectiveness of the algorithm is demonstrated by an example
  • Keywords
    adaptive systems; signal processing; adaptive algorithm; adaptive data fusion; dynamic sensor fusion; multisensor fusion; signal processing; uncertain sensed environment; Communication networks; Covariance matrix; Distributed computing; Filtering; Kalman filters; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-7803-0233-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1991.169779
  • Filename
    169779