Passive radar based UAV detection using opportunistic RF illumination

T Wang, T Huang - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Protecting low-altitude space against unmanned aerial vehicle (UAV) threats has become
imperative due to the proliferation of small or micro UAVs. The complex and dynamic …

Semi-supervised learning framework for UAV detection

OO Medaiyese, M Ezuma, AP Lauf… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
The use of supervised learning with various sensing techniques such as audio, visual
imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in …

[HTML][HTML] UAV Detection Using Reinforcement Learning

A AlKhonaini, T Sheltami, A Mahmoud, M Imam - Sensors, 2024 - mdpi.com
Unmanned Aerial Vehicles (UAVs) have gained significant popularity in both military and
civilian applications due to their cost-effectiveness and flexibility. However, the increased …

[HTML][HTML] RF-based UAV detection and identification using hierarchical learning approach

I Nemer, T Sheltami, I Ahmad, AUH Yasar… - Sensors, 2021 - mdpi.com
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 …

RF-NeuralNet: Lightweight Deep Learning Framework for Detecting Rogue Drones from Radio Frequency Signatures

M Misbah, M Dil, W Khalid… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a revolutionary technology with diverse
applications in fields such as crop monitoring, logistics, and traffic surveillance. Despite all …

Malicious UAV Detection over Rician Fading Channel: Performance Analysis

Y Awad, S Al-Dharrab - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are predicted to be widely used in both military and
civilian sectors in the coming years due to their high mobility, low cost, and enhancement of …

URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles

D Lofù, P Di Gennaro, P Tedeschi… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Safety and security issues for Critical Infrastructures are growing as attackers adopt drones
as an attack vector flying in sensitive airspaces, such as airports, military bases, city centers …

RF Drone Detection System Based on a Distributed Sensor Grid With Remote Hardware-Accelerated Signal Processing

PŁ Flak, R Czyba - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), sometimes known as drones, evolved from military to
civilian applications, opening up novel perspectives in a variety of everyday services. The …

[HTML][HTML] RF signal-based UAV detection and mode classification: A joint feature engineering generator and multi-channel deep neural network approach

S Yang, Y Luo, W Miao, C Ge, W Sun, C Luo - Entropy, 2021 - mdpi.com
With the proliferation of Unmanned Aerial Vehicles (UAVs) to provide diverse critical
services, such as surveillance, disaster management, and medicine delivery, the accurate …

[HTML][HTML] Deep learning approach to UAV detection and classification by using compressively sensed RF signal

Y Mo, J Huang, G Qian - Sensors, 2022 - mdpi.com
Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a
research challenge to identify and detect them effectively, and relatively high bandwidth and …