• DocumentCode
    3630843
  • Title

    Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test

  • Author

    Venugopal V. Veeravalli;Tamer Basar;H. Vincent Poor

  • Author_Institution
    Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    1177
  • Lastpage
    1181
  • Abstract
    A decentralized sequential detection problem is considered in which each one of a set of sensors receives a sequence of observations about the hypothesis. Each sensor sends a sequence of summary messages to the fusion center where a sequential test is carried out to determine the true hypothesis. A Bayesian framework for this problem is introduced, and for the case when the information structure in the system is quasiclassical, it is shown that the problem is tractable. A detailed analysis of this case is presented here.
  • Keywords
    "Performance evaluation","Sequential analysis","Sensor fusion","Face detection","Dynamic programming","Bayesian methods","Sensor systems","Random variables","Relays","Testing"
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792281