Performance analysis of an environmental adaptive CFAR detector

Sung Won Hong, Dong Seog Han

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The constant false alarm rate (CFAR) is a detection algorithm that is generally used in radar or sonar systems, but its performance depends greatly on the environment. This means that the detection performance cannot be satisfied with only a single CFAR detector. This paper evaluates mathematically a proposed environmental adaptive (EA) CFAR detector. The proposed CFAR detector selects an optimal CFAR detector depending on the environment. Computer simulations validate the mathematical analysis and robustness of the detector in homogeneous and nonhomogeneous backgrounds.

Original languageEnglish
Article number615704
JournalMathematical Problems in Engineering
Volume2014
DOIs
StatePublished - 2014

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