Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …

Not any radar dwell time of a drone radar is suitable for detecting micro-Doppler (or jet
engine modulation, JEM) produced by the rotating blades in radar signals of drones …

This review provides a detailed analysis of the advancements in unmanned aerial vehicle
(UAV) detection and classification systems from 2020 to today. It covers various detection …

The use of drones for recreational, commercial and military purposes has seen a rapid
increase in recent years. The ability of counter-drone detection systems to sense whether a …

Soon after its introduction in the communications domain, the novel concept of multiple input–
multiple output (MIMO) has been making its way also into the radar world. A new generation …

A new algorithm for 3D localization in multiplatform radar networks, comprising one
transmitter and multiple receivers, is proposed. To take advantage of the monostatic sensor …

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 …

In this article, a method for creating highly realistic synthetic drone micro-Doppler
spectrograms is presented and its effectiveness of training a bird-drone classifier for real …

This paper reports on the class separability of spectrograms featuring bird and micro-drone
targets produced by an L-Band staring radar. Multi-rotor drones with small propellor blades …

Detection and classification of unmanned aerial vehicles (UAV), namely drones, is an active
area of research. Radars are all-weather instrument that operate in various frequency bands …