摘要
针对毫米波防撞雷达中目标信号检测虚警率高的问题,提出一种基于有序统计量在瑞利分布杂波背景下的频域恒虚警检测(OS-CFAR)的方法。该方法通过对雷达差频信号的频谱进行检测,对检测后的信号进行杂波对消,使系统从雷达中频信号的频谱中检测出目标信号的谱线并滤除杂波。准确检测目标的同时去除干扰,从而降低目标信号检测虚警率。仿真结果证实了该方法适用于多目标干扰环境,能有效对抗杂波干扰,具有良好的虚警控制能力,提高了雷达系统的有效性。
To solve the problem of high false alarm rate in detection for millimeter-wave collision prevention radar, a new detection algorithm using the frequency-domain Order Statistics-Constant False Alarm Rate（OS-CFAR） under relay clutter background is proposed. Through analysis of difference-frequency and clutter elimination, the detector can accurately detect target signal from IF signal spectrum, remove clutter and reduce the false alarm rate. Simulation results confirm that the proposed method is applied to the multi-target environments against clutter and it has good control ability of false alarm and improves the effectiveness of radar system.
出处
《科学技术与工程》
北大核心
2012年第21期5158-5162,共5页
Science Technology and Engineering
关键词
防撞雷达
恒虚警
信号检测
杂波对消
collision prevention radar
constant false alarm rate （CFAR）
signal detection clutter elimination
