Extended dwell Doppler characteristics of birds and micro-UAS at l-band
Extended dwell Doppler characteristics of birds and micro-UAS at l-band
复制标题
鸟类和微型无人机在 L 波段的延长停留多普勒特征
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Baker
中科院分区：
文献类型：
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作者：
M. Jahangir;C. Baker
无人机系统（UAS），通常称为无人机，正在迅速激增，给安保和安全带来了新的挑战。原因是它们体积小，并且能够以高度不规则的方式低空飞行，这使得扫描雷达等传统的广域监视传感器特别难以检测到它们。在这里，我们使用凝视雷达，该雷达采用 2-D 天线阵列和适当的信号处理来创建多波束、3-D、广域、连续凝视监视传感器，能够实现高检测灵敏度，同时提供精细的多普勒分辨率和几分之一秒的更新率。虽然凝视雷达能够在复杂杂波背景下检测微型无人机，但必要的高检测灵敏度意味着可以检测到许多其他小型移动目标，鸟类就是一个主要例子。良好的多普勒辨别力对于区分真正的无人机和雷达传感器报告的其他混淆目标（例如鸟类）的能力至关重要。现场试验的结果说明了旋翼微型无人机和鸟类的信号特征。对详细数据特征的分析可以进行改进，从而更好地区分低可观测微型无人机和鸟类。
Unmanned Aerial Systems (UAS), commonly referred to as drones, are rapidly proliferating bringing about new challenges for security and safety. The reason being their small size and ability to fly low in a highly irregular manner makes them particularly difficult to detect with conventional wide-area surveillance sensors such as a scanning radar. Here, we use staring radar that employs a 2-D antenna array and appropriate signal processing to create a multibeam, 3-D, wide-area, continuously staring surveillance sensor capable of achieving high detection sensitivity, whilst providing fine Doppler resolution with update rates of fractions of a second. Whilst staring radar is able to detect miniature UAS against a background of complex clutter, the necessary high detection sensitivity means that many other small moving targets are detected, birds being a principle example. Good Doppler discrimination is central to the ability to distinguish between genuine drones and other confuser targets such as birds that are reported by the radar sensor. Results from field trials are presented illustrating the signal characteristics of rotary wing micro-drones and birds. Analysis of the detailed data features leads to refinements enabling better discrimination between low observable micro-drones and birds.
影响因子：
1.9
作者：
C. Clemente;A. Balleri;K. Woodbridge;J. Soraghan
通讯作者：
C. Clemente;A. Balleri;K. Woodbridge;J. Soraghan