雷达科学与技术2012，Vol.10Issue(1)：88-93,98,7.
一种基于知识辅助的CFAR检测器
A Knowledge-Aided CFAR Detector
李青华 1姚云萍2
作者信息
- 1. 电子科技大学电子工程学院,四川成都 611731
- 2. 电子科技大学电子科学技术研究院,四川成都 611731
- 折叠
摘要
Abstract
Due to the effects of clutter edges existing in the cell averaging of constant false alarm rate (CA CFAR) detector, this paper concerns a knowledge-aided CFAR detector which consists of a data selector and the conventional CA CFAR detector. The data selector using the priori information provided by GIS( Geographic Information System) chooses the reference cells, whose landforms are the same as the cell under test (CUT) at the maximum. In other words, the selected reference cells compared with CUT are uniform. And the cascaded CA CFAR completes detection and makes decisioa Finally, via real data measured by IPIX radar, the performances are compared with the conventional CFAR detector from both the number of false alarm and the detection in detail. Simulation results show that the knowledge-aided CFAR detector has better performances.关键词
杂波边缘效应/恒虚警率(CFAR)/知识辅助/IPIX实测数据Key words
effects of clutter edge/constant false alarm rate(CFAR)/knowledge-aided/IPIX real data分类
信息技术与安全科学引用本文复制引用
李青华,姚云萍..一种基于知识辅助的CFAR检测器[J].雷达科学与技术,2012,10(1):88-93,98,7.
