期刊
GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW
卷 21, 期 4, 页码 30-34出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3191789.3191800
关键词
-
资金
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1836060] Funding Source: National Science Foundation
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据