Distributed cfar detection in homogeneous and nonhomogeneous backgrounds

Mücahit K. Üner, Pramod K. Varshney

Research output: Contribution to journalArticle

50 Scopus citations

Abstract

The performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swerling type I target model, in the homogeneous background, the global probability of detection for a given fixed global probability of false alarm is maximized by optimizing both the threshold multipliers and the order numbers of the local OS-CFAR detectors. In the nonhomogeneous background with multiple targets or clutter edges, the performance of the detection system is analyzed and its performance is compared with the performance of the distributed cell-averaging (CA) CFAR detection system.

Original languageEnglish (US)
Pages (from-to)84-97
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume32
Issue number1
DOIs
StatePublished - Dec 1 1996

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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