• DocumentCode
    1246168
  • Title

    A unified approach to the design of decentralized detection systems

  • Author

    Alhakeem, S. ; Varshney, P.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
  • Volume
    31
  • Issue
    1
  • fYear
    1995
  • Firstpage
    9
  • Lastpage
    20
  • Abstract
    A unified approach to the design of decentralized detection networks with arbitrary topologies is proposed and analyzed. In this approach, a decentralized detection system of arbitrary topology is represented by a communication matrix that specifies the interconnection structure of the detection network. This matrix is used to derive the general decision rule using the person-by-person-optimal (PBPO) solution methodology. It is shown that the PBPO decision rule is a likelihood ratio test for statistically independent observations. The threshold of the test is shown to be a function of the decision input vector of the detector under consideration. This unified approach is used to obtain the PBPO decision rules of decentralized detection systems with various topologies. Various results in the literature are verified. In addition, the PBPO decision rules for a decentralized detection system with peer communication are presented. Numerical examples are presented for illustration.<>
  • Keywords
    Bayes methods; decision theory; matrix algebra; multivariable systems; sensor fusion; signal detection; Bayes hypothesis; PBPO decision rules; arbitrary topologies; communication matrix; decentralized detection systems; decision rule; design; detection network; interconnection structure; likelihood ratio test; peer communication; person-by-person-optimal solution; statistically independent observations; Bayesian methods; Detectors; Network topology; Reliability engineering; Sensor systems; Sequential analysis; Signal detection; Signal processing; System testing; Tree graphs;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.366288
  • Filename
    366288