• DocumentCode
    2011050
  • Title

    On state fusers over long-haul sensor networks

  • Author

    Brigham, Katharine ; Kumar, B. V K Vijaya ; Rao, Nageswara S V ; Liu, Qiang ; Wang, Xin

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2012
  • fDate
    13-15 Sept. 2012
  • Firstpage
    95
  • Lastpage
    100
  • Abstract
    We consider a network of sensors wherein the state estimates are sent from sensors to a fusion center to generate a global state estimate. The underlying fusion algorithm affects the performance measure QCC(τ) (with subscripts CC indicating the effects of the communications and computing quality) of the global state estimate computed within the allocated time τ. We present a probabilistic performance bound on QCC(τ) as a function of the distributions of state estimates, communications parameters as well as the fusion algorithm. We present simulations of simplified scenarios to illustrate the qualitative effects of different fusers, and system-level simulations to complement the analytical results.
  • Keywords
    probability; sensor fusion; state estimation; communications parameters; fusion algorithm; global state estimation; long-haul sensor networks; performance measure; probabilistic performance bound; state fusers; system-level simulations; time allocation; Computational modeling; Neural networks; Noise measurement; Radar tracking; Spaceborne radar; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012 IEEE Conference on
  • Conference_Location
    Hamburg
  • Print_ISBN
    978-1-4673-2510-3
  • Electronic_ISBN
    978-1-4673-2511-0
  • Type

    conf

  • DOI
    10.1109/MFI.2012.6343053
  • Filename
    6343053