Decentralized detection with correlated observations

Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We study the problem of decentralized detection when the observations are dependent conditioned on the hypothesis. The optimal rule for fusing the quantized versions of the observations received from the individual sensors requires complete statistical information about the quantized observations. Since such a fusion rule may not be easy to implement in practice, we propose a suboptimal detector that optimizes a deflection metric in the class of linear-quadratic detectors. Using simulations it is shown that when the observations are correlated the deflection-optimal detector outperforms the detector that ignores the correlation information completely.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Number of pages5
StatePublished - 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Country/TerritoryUnited States
CityPacific Grove, CA

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications


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