Modified Anderson-Darling test-based target detector in non-homogenous environments.

Citation:

Li Y, Wei Y, Li B, Alterovitz G. Modified Anderson-Darling test-based target detector in non-homogenous environments. Sensors (Basel) [Internet]. 2014;14 (9) :16046-61.

Date Published:

2014

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.

Publisher's Version

Last updated on 12/05/2014