Micro-UAV Detection and Classification from RF Fingerprints Using Machine Learning Techniques is a paper that focuses on the detection and classification of micro-unmanned aerial vehicles (UAVs) using radio frequency (RF) fingerprints transmitted between the ground control station to the micro-UAV.
Publication Date- April 10, 2019
This paper contains the following main sections:
II- Related Work
III- UAV Detection/Classification Scenario and Assumptions
IV- UAV Detection Using RF Signals
V- UAV Classification Using RF Fingerprints
VI- Experiments and Results
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Authors- Martins Ezuma, Faith Erden, Chethan Kumar Anjinappa, Ozgur Ozdemir, and Ismail Guvenc