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Modified anderson-darling test-based target detector in non-homogenous environments

Sensors (Switzerland), ISSN: 1424-8220, Vol: 14, Issue: 9, Page: 16046-16061
2014
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Article Description

A constant false alarm rate (CFAR) target detector in non-homogenous backgrounds is proposed. Based on K-sample Anderson-Darling (AD) tests, the method re-arranges the reference cells by merging homogenous sub-blocks surrounding the cell under test (CUT) into a new reference window to estimate the background statistics. Double partition test, clutter edge refinement and outlier elimination are used as an anti-clutter processor in the proposed Modified AD (MAD) detector. Simulation results show that the proposed MAD test based detector outperforms cell-averaging (CA) CFAR, greatest of (GO) CFAR, smallest of (SO) CFAR, order-statistic (OS) CFAR, variability index (VI) CFAR, and CUT inclusive (CI) CFAR in most non-homogenous situations. © 2014 by the authors; licensee MDPI, Basel, Switzerland.

Bibliographic Details

Li, Yang; Wei, Yinsheng; Li, Bingfei; Alterovitz, Gil

MDPI AG

Chemistry; Computer Science; Physics and Astronomy; Biochemistry, Genetics and Molecular Biology; Engineering

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