恒虚警率
计算机科学
无人机
方位角
多普勒雷达
多输入多输出
计算
雷达
雷达跟踪器
假警报
人工智能
多普勒效应
计算机视觉
实时计算
算法
数学
电信
波束赋形
物理
遗传学
几何学
天文
生物
作者
Siying Wang,Reinhold Herschel
标识
DOI:10.23919/eurad50154.2022.9784486
摘要
In the present paper a novel fast 3D constant false alarm rate (CFAR) detection algorithm is presented and applied to 3D MIMO radar data taking into account azimuth, range and doppler information. The algorithm is designed to minimize the computation effort and its performance is investigated for drone detection in sparse scenarios. For a first experimental drone flight the algorithm significantly improves the detection compared to 2D-CFAR.
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