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

Yang Li; Yinsheng Wei; Bingfei Li; Gil Alterovitz

doi:10.3390/s140916046

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

Sensors (Basel). 2014 Aug 29;14(9):16046-61. doi: 10.3390/s140916046.

Authors

Yang Li¹, Yinsheng Wei², Bingfei Li³, Gil Alterovitz⁴

Affiliations

¹ Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China. li.yang@hit.edu.cn.
² Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China. weiys@hit.edu.cn.
³ Department of Electronic Engineering, Harbin Institute of Technology, Harbin 150001, China. westerange@163.com.
⁴ Center for Biomedical Informatics, Harvard University, Boston, MA 02115, USA. gil_alterovitz@hms.harvard.edu.

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.

Publication types

Research Support, Non-U.S. Gov't