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 decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …

飞鸟和无人机(UAVs) 是典型的“低慢小” 目标, 具有低可观测性, 对两者的有效监视和识别成为
保障空中航路安全, 城市安保等需求迫切需要解决的难题. 飞鸟和无人机目标类型多 …

Abstract Flying birds and Unmanned Aerial Vehicles (UAVs) are typical “low, slow, and
small” targets with low observability. The need for effective monitoring and identification of …

This paper proposes a method to simultaneously detect and classify objects by using a deep
learning model, specifically you only look once (YOLO), with pre-processed automotive …

In this study, the authors present the accurate imaging of the behavior of simultaneous
operations of multiple low radar cross-section (RCS) aerial targets. Currently, the popularity …

Detecting and identifying drones is of great interest due to the proliferation of highly
manoeuverable drones with on-board sensors of increasing sensing capabilities. In this …

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 …

Aiming at the difficult problem of the classification between flying bird and rotary-wing drone
by radar, a micro-motion feature classification method is proposed in this paper. Using K …