{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:28:22Z","timestamp":1760243302714,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T00:00:00Z","timestamp":1409270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s140916046","type":"journal-article","created":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T10:37:19Z","timestamp":1409308639000},"page":"16046-16061","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Modified Anderson-Darling Test-Based Target Detector in  Non-Homogenous Environments"],"prefix":"10.3390","volume":"14","author":[{"given":"Yang","family":"Li","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Center for Biomedical Informatics, Harvard University, Boston, MA 02115, USA"}]},{"given":"Yinsheng","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China"}]},{"given":"Bingfei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China"}]},{"given":"Gil","family":"Alterovitz","sequence":"additional","affiliation":[{"name":"Center for Biomedical Informatics, Harvard University, Boston, MA 02115, USA"}]}],"member":"1968","published-online":{"date-parts":[[2014,8,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"16867","DOI":"10.3390\/s131216867","article-title":"Application of Receiver Operating Characteristic (ROC) Curves for Explosives Detection Using Different Sampling and Detection Techniques","volume":"13","author":"Young","year":"2013","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2104","DOI":"10.1109\/TSP.2013.2245662","article-title":"Generalized CFAR Property and UMP Invariance for Adaptive Signal Detection","volume":"61","year":"2013","journal-title":"IEEE Trans. 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