• DocumentCode
    3102558
  • Title

    Optimal asynchronous multisensor centralized fusion estimate

  • Author

    Qiu, Ai-bing ; Wen, Cheng-lin

  • Author_Institution
    Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    3396
  • Lastpage
    3401
  • Abstract
    In this paper the problem of asynchronous multisensor fusion estimate is considered. A new optimal asynchronous centralized fusion algorithm based on left synchronization lifting is presented. Comparing with the existing sequential filtering algorithm, the proposed algorithm has an advantage in computation. Comparing with the asynchronous centralized fusion algorithm based on right synchronization lifting, it guarantees that the lifted system is causal. The equivalence of the algorithms based on right and left synchronization lifting is also proved to show the optimality of the proposed algorithm. An illustrative example is provided to demonstrate the performance of the proposed algorithm.
  • Keywords
    filtering theory; sensor fusion; left synchronization lifting; optimal asynchronous centralized fusion algorithm; optimal asynchronous multisensor centralized fusion estimation; right synchronization lifting; sequential filtering algorithm; Computational complexity; Cybernetics; Filtering algorithms; Intelligent sensors; Machine learning; Noise measurement; Sampling methods; Sensor fusion; Sensor systems; Time measurement; Asynchronous; Kalman filter; data fusion; synchronization lifting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212782
  • Filename
    5212782