Performance Analysis of an Environmental Adaptive CFAR Detector | Zendy

Sung Won Hong | Zendy; Dong Seog Han | Zendy

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Performance Analysis of an Environmental Adaptive CFAR Detector

Author(s) -

Sung Won Hong,

Dong Seog Han

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/615704

Subject(s) - constant false alarm rate , detector , robustness (evolution) , sonar , computer science , radar , clutter , homogeneous , algorithm , artificial intelligence , mathematics , telecommunications , biochemistry , chemistry , combinatorics , gene

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

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