ON DISTRIBUTED CELL-AVERAGING CFAR DETECTION WITH DATA FUSION.

Mourad Barkat, Pramod Kumar Varshney

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

Abstract

A distributed version of a signal detection problem of practical relevance is considered. It deals with the detection of a target in a statistically nonstationary background noise (thermal noise plus cutter). In this situation, classical detection with a fixed threshold cannot be used because the false-alarm probability may increase intolerably. Therefore, adaptive threshold techniques are needed to maintain a constant false-alarm rate (CFAR). One approach is to compare the output from the test cell to an adaptive threshold obtained from the mean level of clutter plus noise over adjacent range cells. In the cell-averaging constant false-alarm rate detector (CA-CFAR), the adaptive threshold is obtained from the arithmetic mean of the set of the leading cells forming one reference window and the set of the lagging cells forming the other reference window. 1 ref.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE Computer Society
Pages1844-1845
Number of pages2
StatePublished - 1987

ASJC Scopus subject areas

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

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