Drone detection and defense systems: Survey and a software-defined radio-based solution
With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …
increased exponentially. As such, the concerns regarding security aspects that are raised by …
Advances and challenges in drone detection and classification techniques: A state-of-the-art review
The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …
brought a unique set of opportunities and challenges to both the civilian and military sectors …
Survey on anti-drone systems: Components, designs, and challenges
This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …
released for non-military usages, drone incidents in the unarmed population are gradually …
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 …
CNN-SSDI: Convolution neural network inspired surveillance system for UAVs detection and identification
In recent years, the availability of commercial unmanned air vehicles (UAVs) has increased
enormously because of device miniaturization and low cost. However, the abuse of UAVs …
enormously because of device miniaturization and low cost. However, the abuse of UAVs …
[HTML][HTML] Drone classification using RF signal based spectral features
R Kılıç, N Kumbasar, EA Oral, IY Ozbek - Engineering Science and …, 2022 - Elsevier
Drone detection and classification, important in military and civilian applications, are
performed using different sensor signals. Proposed study handles this task using Radio …
performed using different sensor signals. Proposed study handles this task using Radio …
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 …
research challenge to identify and detect them effectively, and relatively high bandwidth and …
Time–frequency multiscale convolutional neural network for RF-based drone detection and identification
Due to recent technological advancements and significant decreases in their costs, drones
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
[HTML][HTML] Optimized radio frequency footprint identification based on UAV telemetry radios
Y Tian, H Wen, J Zhou, Z Duan, T Li - Sensors, 2024 - mdpi.com
With the widespread use of unmanned aerial vehicles (UAVs), the detection and
identification of UAVs is a vital security issue for the safety of airspace and ground facilities …
identification of UAVs is a vital security issue for the safety of airspace and ground facilities …
Global context-based threshold strategy for drone identification under the low SNR condition
Y Chen, L Zhu, C Yao, G Gui… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Regulation of drones is already an important research topic. The drone identification method
based on the radio frequency (RF) signal analysis technology is an efficient approach to …
based on the radio frequency (RF) signal analysis technology is an efficient approach to …