Comprehensive Review: Effectiveness of MIMO and Beamforming Technologies in Detecting Low RCS UAVs
Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors,
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …
A review of security incidents and defence techniques relating to the malicious use of small unmanned aerial systems
CJ Swinney, JC Woods - IEEE Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
Critical national infrastructure sites, such as airports and nuclear facilities, have been subject
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …
Model-based data augmentation applied to deep learning networks for classification of micro-Doppler signatures using FMCW radar
Deep neural networks (DNNs) have become a relevant subject in the classification of radio
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
Convolutional neural networks for classification of drones using radars
The ability to classify drones using radar signals is a problem of great interest. In this paper,
we apply convolutional neural networks (CNNs) to the Short-Time Fourier Transform (STFT) …
we apply convolutional neural networks (CNNs) to the Short-Time Fourier Transform (STFT) …
Dronesense: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
[HTML][HTML] Frequency-Modulated Continuous-Wave Radar Perspectives on Unmanned Aerial Vehicle Detection and Classification: A Primer for Researchers with …
Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound
implications for various domains, including surveillance, security, and commercial …
implications for various domains, including surveillance, security, and commercial …
Comparison of radar signatures from a hybrid VTOL fixed-wing drone and quad-rotor drone
J Gong, D Li, J Yan, H Hu, D Kong - Drones, 2022 - mdpi.com
Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL)
fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone …
fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone …
A GaN-HEMT active drain-pumped mixer for S-band FMCW radar front-end applications
This paper reports for the first time a drain-pumped (DP) mixer using Gallium Nitride (GaN)
HEMT technology. Specifically, it describes a method aimed to predict the optimum bias …
HEMT technology. Specifically, it describes a method aimed to predict the optimum bias …
The effect of real-world interference on CNN feature extraction and machine learning classification of unmanned aerial systems
CJ Swinney, JC Woods - Aerospace, 2021 - mdpi.com
Small unmanned aerial systems (UASs) present many potential solutions and
enhancements to industry today but equally pose a significant security challenge. We only …
enhancements to industry today but equally pose a significant security challenge. We only …
[HTML][HTML] Single-pixel full-field simultaneous spatial and velocity imaging
Z Yang, YM Bai, KX Huang, YX Liu, J Liu… - Optics and Lasers in …, 2023 - Elsevier
We propose a novel combination of coherent detection with single-pixel imaging to produce,
for the first time, single-pixel full-field simultaneous spatial and velocity imaging. We …
for the first time, single-pixel full-field simultaneous spatial and velocity imaging. We …