DissIdent: A Dissimilarity-based Approach for Improving the Identification of Unknown UAVs
Author:
Affiliation:
1. University of Ottawa,PARADISE Research Laboratory, EECS,Ottawa,Canada
2. State University of Maringá,Manna Research Group,Maringá,Brazil
3. Federal University of Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil
Funder
Canada Research Chairs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10293227/10293746/10293825.pdf?arnumber=10293825
Reference16 articles.
1. Internet of Drones
2. RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
3. Audio Based Drone Detection and Identification using Deep Learning
4. DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
5. Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference
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