Journal
GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW
Volume 21, Issue 4, Pages 30-34Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3191789.3191800
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Funding
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1836060] Funding Source: National Science Foundation
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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.
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