Detection, Tracking, and Interdiction for Amateur Drones
Detection, Tracking, and Interdiction for Amateur Drones
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DOI：
10.1109/mcom.2018.1700455
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发表时间：
2018-04-01
影响因子：
11.2
通讯作者：
Matolak, David
中科院分区：
文献类型：
--
作者：
Guevenc, Ismail;Koohifar, Farshad;Matolak, David
无人机，也被称为无人机，预计将在未来的智能城市中发挥重要作用，例如，通过运送货物和商品，作为宽带无线接入的移动热点，以及维护监控和安全。这篇调查文章的目的是研究使用无人机可能产生的各种潜在的网络和物理威胁，并随后审查检测、跟踪和拦截恶意无人机的各种方法。特别是，我们审查了依赖于环境射频信号(从无人机发射)、雷达、声传感器和计算机视觉技术来检测恶意无人机的技术。文中给出了无人机航程估计和无人机滚动跟踪的初步实验和仿真结果。最后，我们总结了考虑用于拦截无人机的常用技术。
Unmanned aerial vehicles, also known as drones, are expected to play major roles in future smart cities, for example, by delivering goods and merchandise, serving as mobile hotspots for broadband wireless access, and maintaining surveillance and security. The goal of this survey article is to study various potential cyber and physical threats that may arise from the use of UAVs, and subsequently review various ways to detect, track, and interdict malicious drones. In particular, we review techniques that rely on ambient radio frequency signals (emitted from UAVs), radars, acoustic sensors, and computer vision techniques for detection of malicious UAVs. We present some early experimental and simulation results on range estimation of UAVs and receding horizon tracking of UAVs. Finally, we summarize common techniques that are considered for interdiction of UAVs.