雷达科学与技术Issue(2)：183-189,7.DOI:10.3969/j.issn.1672-2337.2015.02.015
未知杂波背景下恒虚警检测门限获取方法
CFAR Detection Based on Kernel Density Estimation under Background Unknown
摘要
Abstract
In view of radar detection under unknown clutter background,we propose a new CFAR detec-tor based on kernel density estimation(K-CFAR).Firstly,the K-CFAR exploits the kernel density estima-tion to estimate the probability density function(PDF)of the clutter background.Then,in a given constant false alarm rate,we calculate the detection threshold based on the relationship of distribution function and points on the site.This method not only successfully solves the problem of a lower probability of target de-tection and a higher probability of false alarm in unknown clutter background,but also improves the detection performance in comparison with the existing single sample parameter CFAR detectors.And the K-CFAR has the generality to all sorts of unknown clutter background.Finally,we verify the effectiveness of K-CFAR de-tector using the computer simulation data.关键词
雷达检测/未知背景/恒虚警(CFAR)/核密度估计Key words
radar detection/unknown background/constant false alarm rate(CFAR)/kernel density estimation分类
信息技术与安全科学引用本文复制引用
郝凯利,易伟,董天发,孔令讲,夏玫..未知杂波背景下恒虚警检测门限获取方法[J].雷达科学与技术,2015,(2):183-189,7.基金项目
国家自然科学基金(No.61301266,61178068,61201276) （No.61301266,61178068,61201276）
中国中央大学基本研究基金(No.ZYGX2012Z001) （No.ZYGX2012Z001）
新世纪优秀人才支持计划(No.A1098524023901001063) （No.A1098524023901001063）
