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Sensors 2014, 14(9), 16046-16061; doi:10.3390/s140916046

Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments

1
Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China
2
Center for Biomedical Informatics, Harvard University, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
Received: 9 February 2014 / Revised: 3 July 2014 / Accepted: 11 August 2014 / Published: 29 August 2014
(This article belongs to the Section Physical Sensors)
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Abstract

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. View Full-Text
Keywords: target detection; Constant False Alarm Rate (CFAR) detector; Anderson-Darling (AD) test; statistical signal processing; clutter edge; non-homogenous background target detection; Constant False Alarm Rate (CFAR) detector; Anderson-Darling (AD) test; statistical signal processing; clutter edge; non-homogenous background
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Li, Y.; Wei, Y.; Li, B.; Alterovitz, G. Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments. Sensors 2014, 14, 16046-16061.

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