Micro-UAV detection and classification from RF fingerprints using machine learning techniques
This paper focuses on the detection and classification of micro-unmanned aerial vehicles
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …
RF-based UAV detection and identification using hierarchical learning approach
Unmanned Aerial Vehicles (UAVs) are widely available in the current market to be used
either for recreation as a hobby or to serve specific industrial requirements, such as …
either for recreation as a hobby or to serve specific industrial requirements, such as …
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 …
vehicles (UAVs) in the presence of wireless interference signals using a passive radio …
Investigating cost-effective RF-based detection of drones
Beyond their benign uses, civilian drones have increasingly been used in problematic ways
that have stirred concern from the public and authorities. While many anti-drone systems …
that have stirred concern from the public and authorities. While many anti-drone systems …
Wavelet transform analytics for RF-based UAV detection and identification system using machine learning
In this work, we performed a thorough comparative analysis on a radio frequency (RF)
based drone detection and identification system (DDI) under wireless interference, such as …
based drone detection and identification system (DDI) under wireless interference, such as …
RF fingerprinting unmanned aerial vehicles with non-standard transmitter waveforms
The universal availability of unmanned aerial vehicles (UAVs) has resulted in many
applications where the same make/model can be deployed by multiple parties. Thus …
applications where the same make/model can be deployed by multiple parties. Thus …
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …
technical, security, and public safety issues that need to be addressed, regulated and …
Radar-spectrogram-based UAV classification using convolutional neural networks
With the upsurge in the use of Unmanned Aerial Vehicles (UAVs) in various fields, detecting
and identifying them in real-time are becoming important topics. However, the identification …
and identifying them in real-time are becoming important topics. However, the identification …
UAV detection and identification based on WiFi signal and RF fingerprint
The security threats caused by the popularity of Unmanned Aerial Vehicles (UAVs) have
received much attention. In this paper, a UAV detection and identification system based on …
received much attention. In this paper, a UAV detection and identification system based on …
RF-based low-SNR classification of UAVs using convolutional neural networks
This paper investigates the problem of classification of unmanned aerial vehicles (UAVs)
from radio frequency (RF) fingerprints at the low signal-to-noise ratio (SNR) regime. We use …
from radio frequency (RF) fingerprints at the low signal-to-noise ratio (SNR) regime. We use …