@article {318556,
	title = {Modified Anderson-Darling test-based target detector in non-homogenous environments.},
	journal = {Sensors (Basel)},
	volume = {14},
	number = {9},
	year = {2014},
	month = {2014},
	pages = {16046-61},
	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.},
	issn = {1424-8220},
	doi = {10.3390/s140916046},
	url = {http://projects.iq.harvard.edu/files/bcl/files/li-sensors-2014.pdf},
	author = {Li, Yang and Wei, Yinsheng and Li, Bingfei and Alterovitz, Gil}
}