摘要
设计了一类基于VMSR的改进型恒虚警检测器,给出了检测器的检测结构框图,同时描述了该类检测器的检测模型并给出了相应的检测概率表达式。该类检测器通过VR删除算法自适应删除杂波背景中的干扰样本,并将剩余样本按照不同操作得到杂波背景功率估计,提高了复杂杂波背景下检测器的精确性及鲁棒性。通过与典型VMSR-CFAR检测器的仿真对比实验,验证了该类检测器的检测性能。
In this paper, a modified CFAR detector based on variance and mean square ratio is proposed and its detection architec- ture is given. Meanwhile, the detection model is described and its probability expression is derived. This CFAR detector takes the VR algrithm to delete the interference samples adaptively and calculates the background clutter power estimation through different procedures. The accuracy and robustness of the detector under complex background clutter is improved. The good performance of this type detector is verified by the contrast simulation experiment with typical VMSR-CFAR detectors.
出处
《现代雷达》
CSCD
北大核心
2017年第4期29-33,共5页
Modern Radar
关键词
雷达目标检测
恒虚警率
多目标背景
方差均值平方比
radar target detection
constant false alarm rate
multiple targets background
variance and mean square ratio