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Detection, Localization, and Tracking of Unauthorized UAS and JammersSmall unmanned aircraft systems (UASs) are expected to take major roles in future smart cities, for example, by delivering goods and merchandise, potentially serving as mobile hot spots for broadband wireless access, and maintaining surveillance and security. Although they can be used for the betterment of the society, they can also be used by malicious entities to conduct physical and cyber attacks to infrastructure, private/public property, and people. Even for legitimate use-cases of small UASs, air traffic management (ATM) for UASs becomes of critical importance for maintaining safe and collusion-free operation. Therefore, various ways to detect, track, and interdict potentially unauthorized drones carries critical importance for surveillance and ATM applications. In this paper, we will review techniques that rely on ambient radio frequency signals (emitted from UASs), radars, acoustic sensors, and computer vision techniques for detection of malicious UASs. We will present some early experimental and simulation results on radar-based range estimation of UASs, and receding horizon tracking of UASs. Subsequently, we will overview common techniques that are considered for interdiction of UASs.
Document ID
20170009465
Document Type
Conference Paper
Authors
Guvenc, Ismail (North Carolina State Univ. Raleigh, NC, United States)
Ozdemir, Ozgur (North Carolina State Univ. Raleigh, NC, United States)
Yapici, Yavuz (North Carolina State Univ. Raleigh, NC, United States)
Mehrpouyan, Hani (Boise State Univ. Boise, ID, United States)
Matolak, David (South Carolina Univ. Columbia, SC, United States)
Date Acquired
October 4, 2017
Publication Date
September 17, 2017
Subject Category
Aircraft Communications and Navigation
Report/Patent Number
GRC-E-DAA-TN46671
Meeting Information
IEEE/AIAA Digital Avionics Systems Conference (DASC ''17)(St. Petersburg, FL)
Funding Number(s)
WBS: WBS 128698.02.93.03.17.43
CONTRACT_GRANT: NNX17AJ94A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
surveillance
interdiction
UA
drones detection
Internet of Things (IoT)
UAS
mmWave radar
tracking

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