As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to
increase in number, technical complexity and capabilities. Numerous civilian and …

Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

We propose a drone classification method based on convolutional neural network (CNN)
and micro-Doppler signature (MDS). The MDS only presents Doppler information in time …

This review explores radar‐based techniques currently utilised in the literature to monitor
small unmanned aerial vehicle (UAV) or drones; several challenges have arisen due to their …

This paper presents an approach for detection and tracking a micro-UAV using the
multistatic radar NetRAD. Experimental trials were performed using NetRAD allowing for …

The great availability of commercial drones has raised growing interest among people, since
remotely piloted vehicles can be employed in numerous applications. The pervasive use of …

Amateur drones are enjoying great popularity in recent years due to the wide commercial
diffusion of small, rather low-cost devices. More and more user-friendly, easy-to-pilot aerial …

This letter aims to show the potential of using polarimetric parameters to distinguish between
large birds and unmanned aerial vehicles (UAVs) of comparable size in the context of a …

Preliminary results on the use of multistatic radar and micro‐Doppler analysis to detect and
discriminate between micro‐drones hovering carrying different payloads are presented. Two …

Small unmanned aircraft systems (UASs) are expected to take major roles in future smart
cities, for example, by delivering goods and merchandise, potentially serving as mobile hot …