Herein, an approach for mitigating disturbances in real-field inverse synthetic aperture radar
(ISAR) images of drones is introduced. This is achieved through the utilization of combining …

A large-scale dataset of drone radio frequency signals, namely DroneRFa, is constructed to
research and develop anti-drone detection and recognition technologies. This dataset uses …

Among various sensor array configurations, the L-shaped nested array offers improved
performance for 2-D direction-of-arrival (DOA) estimation through co-array processing …

We consider signal source localization from range-difference measurements. First, we give
some readily-checked conditions on measurement noises and sensor deployment to …

The increase in the number of unmanned aerial vehicles aka drones pose several threats to
public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized …

By using the 3D intensimetry algorithm, a sensor probe has a significant advantage at low
frequencies, allowing for a compact array cluster that is far smaller than a wavelength. A …

Unmanned aerial vehicles (UAVs) will play an increasingly important role in urban scenario,
while the existing UAV detection technologies are inadequate to achieve full-time, large …

The abuse of drones has raised critical concerns about public security and personal privacy,
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …

The numerous applications of unmanned aerial vehicles (UAVs) have caused them to
receive growing interest worldwide. However, misused UAVs have caused significant public …

The improvement of the performance of online separating speech and music is an NP
problem and the separation optimization increases the complexity of the method in a Robust …