现代雷达2017，Vol.39Issue(6)：46-49,57,5.DOI:10.16592/j.cnki.1004-7859.2017.06.010
基于雷达知识库的知识辅助恒虚警检测算法
Knowledge-aided CFAR Algorithm Based on Radar Knowledge Base
摘要
Abstract
Since the selected reference cells and cell under test usually cannot meet the assumption of statistically independent identically distribution,the conventional constant false alarm rate (CFAR) detectors,such as CA-CFAR,suffer considerable performance degradation in heterogeneous background.In this case,a new knowledge-based CFAR (KB-CFAR) detector based on radar knowledge base is proposed to reduce the impact of heterogeneous environment.The proposed KB-CFAR detector exploits auxiliary knowledge in the radar knowledge base to select reference cells,improves the estimation of background clutter power level,and reduces the impact of heterogeneous environment.The performance of the new KB-CFAR detector is analyzed by the real radar data collected by a linear frequency-modulated continues wave (LFMCW) radar.The results show that the new detector performs better than the conventional CFAR detectors in the aspects of controlling of false alarm points and development of detection probability in heterogeneous environment.关键词
雷达知识库/知识辅助/恒虚警检测Key words
radar knowledge base/knowledge-based/CFAR detection分类
信息技术与安全科学引用本文复制引用
卢术平,宋海洋,易伟,孔令讲,杨晓波..基于雷达知识库的知识辅助恒虚警检测算法[J].现代雷达,2017,39(6):46-49,57,5.基金项目
国家自然科学基金资助项目(61301266,61170868,61201276) （61301266,61170868,61201276）
中国中央大学基本研究基金资助项目(ZYGX2012Z001,ZYGX2013J012,ZYGX2014J013,ZYGX2014Z005) （ZYGX2012Z001,ZYGX2013J012,ZYGX2014J013,ZYGX2014Z005）
中国博士后科学基金资助项目(2014M550465) （2014M550465）
新世纪优秀人才支持计划资助项目(A1098524023901001063) （A1098524023901001063）
