RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach

RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach

The security and privacy risks posed by unmanned aerial vehicles (UAVs) have become a significant cause of concern in today’s society. Due to technological advancement, these devices are becoming progressively inexpensive, which makes them convenient for many different applications. The massive numb...

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Bibliographic Details
Main Authors: Alam, M.M (Author), Alam, S.S (Author), Bin Mofidul, R. (Author), Chakma, A. (Author), Jang, Y.M (Author), Rahman, M.H (Author), Utama, I.B.K.Y (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Aerial vehicle
Aircraft detection
Antennas
article
classification
Complex networks
convolutional neural network
Convolutional neural network
Convolutional neural networks
deep learning
Deep learning
Detection and identifications
diagnostic test accuracy study
Drones
End to end
Extraction
feature extraction
Feature extraction
Intelligent systems
multiscale architecture
Multiscale architecture
privacy
Radiofrequencies
radiofrequency
Real time systems
security
signal detection
Signal detection
signal noise ratio
Signal to noise ratio
UAV detection
unmanned aerial vehicle
Unmanned aerial vehicle detection
Vehicle identification
Vehicles detection
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