volume | PIER Journals

2015-12-09

A New Class of Adaptive CFAR Methods for Nonhomogeneous Environments

Anatolii A. Kononov,

Dr. Anatolii A. Kononov

Research Center

STX Engine

Korea

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Jin-Ha Kim,

Dr. Jin-Ha Kim

Research Center

Korea

Homepage

Jin-Ki Kim,

Dr. Jin-Ki Kim

Research Center

Korea

Homepage

Gyoungju Kim

Dr. Gyoungju Kim

Research Center

Korea

Homepage

Progress In Electromagnetics Research B, Vol. 64, 145-170, 2015

doi:10.2528/PIERB15091603

Abstract

The paper introduces a new class of adaptive CFAR methods to cope with the problem of outliers due to the presence of clutter edges and interfering targets. A fundamental distinction between the proposed approach and existing adaptive CFAR approaches is that in order to maintain robust performance the former uses information on positions at which estimated outlier-free cells appear in the full reference window and the statistics of the sample in the cell under test. The performance of one of the possible implementations of new adaptive CFAR methods is studied and compared with that of an existing adaptive CFAR approach. The results show significant advantages of the proposed class of adaptive CFAR methods in both the false alarm regulation property and detection performance.

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Anatolii A. Kononov, Jin-Ha Kim, Jin-Ki Kim, and Gyoungju Kim, "A New Class of Adaptive CFAR Methods for Nonhomogeneous Environments," Progress In Electromagnetics Research B, Vol. 64, 145-170, 2015.
doi:10.2528/PIERB15091603

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