NEYMAN-PEARSON DETECTION WITH DISTRIBUTED SENSORS.

Imad Y. Hoballah, Pramod Kumar Varshney

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

26 Scopus citations

Abstract

The signal detection problem when multiple sensors are used for surveillance and a global decision is desired is considered. Local decisions are fed into a data fusion center where a global decision is obtained using a fusion rule. The Neyman-Pearson criterion is used for system optimization. Two problems are considered. The first is to design the decision rules at the individual detectors when the fusion rule is given. The second is to find the optimum fusion rule, knowing the decision rules at the detectors.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE Computer Society
Pages237-241
Number of pages5
StatePublished - 1986

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ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Hoballah, I. Y., & Varshney, P. K. (1986). NEYMAN-PEARSON DETECTION WITH DISTRIBUTED SENSORS. In Proceedings of the IEEE Conference on Decision and Control (pp. 237-241). IEEE Computer Society.