Distributed Bayesian Signal Detection

Imad Y. Hoballah, Pramod K. Varshney

Research output: Contribution to journalArticle

161 Scopus citations

Abstract

The signal detection problem when distributed sensors are used and a global decision is desired is considered. Local decisions from the sensors are fed to a data fusion center which then yields a global decision based on a fusion rule. A Bayesian formulation of the problem is considered and a person-by-person optimization of the overall system is carried out. The special case of identical detectors with independent observations is considered as well. An illustrative example is also presented.

Original languageEnglish (US)
Pages (from-to)995-1000
Number of pages6
JournalIEEE Transactions on Information Theory
Volume35
Issue number5
DOIs
StatePublished - Sep 1989

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Distributed Bayesian Signal Detection'. Together they form a unique fingerprint.

  • Cite this