Optimal Data Fusion in Multiple Sensor Detection Systems

Z. Chair, P. K. Varshney

Research output: Contribution to journalArticlepeer-review

964 Scopus citations


There is an increasing interest in employing multiple sensors for surveillance and communications. Some of the motivating factors are reliability, survivability, increase in the number of targets under consideration, and increase in required coverage. Tenney and Sandell have recently treated the Bayesian detection problem with distributed sensors. They did not consider the design of data fusion algorithms. We present an optimum data fusion structure given the detectors. Individual decisions are weighted according to the reliability of the detector and then a threshold comparison is performed to obtain the global decision.

Original languageEnglish (US)
Pages (from-to)98-101
Number of pages4
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number1
StatePublished - Jan 1986

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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