Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference

Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference

This paper investigates the problem of detection and classification of unmanned aerial vehicles (UAVs) in the presence of wireless interference signals using a passive radio frequency (RF) surveillance system. The system uses a multistage detector to distinguish signals transmitted by a UAV controll...

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Bibliographic Details
Main Authors: Martins Ezuma, Fatih Erden, Chethan Kumar Anjinappa, Ozgur Ozdemir, Ismail Guvenc
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Interference
machine learning
Markov models
RF fingerprinting
unmanned aerial vehicles (UAVs)
UAV detection and classification
Online Access:https://ieeexplore.ieee.org/document/8913640/

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