Passive Drone Localization Using LTE Signals

Mingshun Sun, Zhiwu Guo, Ming Li, Ryan Gerdes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Drones raise significant privacy and security threats, by intruding into the airspace of private properties or unauthorized regions. Being able to detect and localize the encroaching drones is essential to build geofencing systems to prevent drone misuse. While most existing approaches focus on detecting and localizing active drones, passive drones that do not emit signals are particularly challenging to localize, without requiring advanced hardware. In this work, we propose a novel, low-cost passive drone localization approach, by leveraging opportunistic environmental RF signals (e.g., LTE or WiFi) that reflect off the target drone, with only a single wireless receiver. We implement a prototype system on a USRP-device based testbed, with standard LTE signals emitted by multiple distributed transmitters, and conduct experiments on top of a campus building to evaluate its performance.

Original languageEnglish (US)
Title of host publicationWiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PublisherAssociation for Computing Machinery, Inc
Pages295-297
Number of pages3
ISBN (Electronic)9781450392167
DOIs
StatePublished - May 16 2022
Event15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022 - Virtual, Online, United States
Duration: May 16 2022May 19 2022

Publication series

NameWiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks

Conference

Conference15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022
Country/TerritoryUnited States
CityVirtual, Online
Period5/16/225/19/22

Keywords

  • lte
  • ofdm radar processing
  • passive drone localization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software
  • Safety Research

Fingerprint

Dive into the research topics of 'Passive Drone Localization Using LTE Signals'. Together they form a unique fingerprint.

Cite this