Decentralized CFAR detection based on order statistics

Mucahit K. Uner, Pramod K. Varshney

Research output: Chapter in Book/Entry/PoemConference contribution

8 Scopus citations


In this paper, we analyze the performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds. We employ the ordered statistics (OS) CFAR detectors as local detectors. In the homogeneous background, we maximize the global probability of detection for a given fixed global probability of false alarm 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, we analytically analyze the performance of the detection system and compare its performance with the performance of the distributed cell-averaging (CA) CFAR detection system.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)0780317610
StatePublished - 1993
EventProceedings of the 36th Midwest Symposium on Circuits and Systems - Detroit, MI, USA
Duration: Aug 16 1993Aug 18 1993

Publication series

NameMidwest Symposium on Circuits and Systems


OtherProceedings of the 36th Midwest Symposium on Circuits and Systems
CityDetroit, MI, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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