Cost-Effective and Passive RF-Based Drone Presence Detection and Characterization
Phuc Nguyen, Hoang Truong, M. Ravindranathan, Anh Nguyen, Richard O. Han, Tam N. Vu
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引用次数: 25
Abstract
Excerpted from "Matthan: Drone Presence Detection by Identifying Physical Signatures in the Drone's RF Communication," from MobiSys 2017, Proceedings of the 15th Annual ACM International Conference on Mobile Systems, Applications, and Services, with permission. https://dl.acm.org/citation.cfm?id=3081354 © ACM 2017.
The rapidly increasing attention regarding drone privacy and security issues requires a robust solution in both detecting and characterizing unauthorized drones. We have designed a RF-based, cost-effective and passive drone detection system, named Matthan, based on two key physical signatures of the drones, i.e., body shifting and body vibration, in the drone's wireless communication channel. In realizing Matthan, there are many open challenges in wireless sensing and networking, software-defined radio deployment, network synchronization to passively and accurately detect, localize, and characterize drones.
基于成本效益和被动射频的无人机存在检测和表征
摘自“Matthan:通过识别无人机射频通信中的物理签名进行无人机存在检测”，摘自MobiSys 2017年第15届ACM移动系统、应用和服务国际会议论文集，经许可。https://dl.acm.org/citation.cfm?id=3081354©ACM 2017。对无人机隐私和安全问题的迅速关注需要一个强大的解决方案来检测和表征未经授权的无人机。我们基于无人机无线通信信道中的两个关键物理特征，即机体移动和机体振动，设计了一种基于射频的、具有成本效益的被动无人机检测系统Matthan。在实现Matthan的过程中，在无线传感和网络、软件定义无线电部署、网络同步被动和准确地检测、定位和表征无人机方面存在许多开放的挑战。
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