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 …

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 …

With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

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 …

This study presents the use of micro‐Doppler signatures collected by a multistatic radar to
detect and discriminate between micro‐drones hovering and flying while carrying different …

This paper presents both simulation and experimental results of micro-drone rotor blade
electromagnetic scattering. The focus of this work is investigating the variation of these …

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 …

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 …

This paper presents different information fusion approaches to classify human gait patterns
and falls in a radar sensors network. The human gaits classified in this work are both …