Review of radar classification and RCS characterisation techniques for small UAVs or drones
JS Patel, F Fioranelli… - IET Radar, Sonar & …, 2018 - Wiley Online Library
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 …
small unmanned aerial vehicle (UAV) or drones; several challenges have arisen due to their …
Drone detection and defense systems: Survey and a software-defined radio-based solution
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 …
increased exponentially. As such, the concerns regarding security aspects that are raised by …
Protect your sky: A survey of counter unmanned aerial vehicle systems
Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …
[HTML][HTML] 飞鸟与无人机目标雷达探测与识别技术进展与展望
陈小龙, 陈唯实, 饶云华, 黄勇, 关键, 董云龙 - 雷达学报, 2020 - radars.ac.cn
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 …
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 …
[HTML][HTML] Progress and prospects of radar target detection and recognition technology for flying birds and unmanned aerial vehicles
C Xiaolong, C Weishi, R Yunhua, H Yong, G Jian… - 雷达学报, 2020 - radars.ac.cn
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 …
small” targets with low observability. The need for effective monitoring and identification of …
YOLO-based simultaneous target detection and classification in automotive FMCW radar systems
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 …
learning model, specifically you only look once (YOLO), with pre-processed automotive …
SP-WVD with adaptive-filter-bank-supported RF sensor for low RCS targets' nonlinear micro-Doppler signature/pattern imaging system
HC Kumawat, AAB Raj - Sensors, 2022 - mdpi.com
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 …
operations of multiple low radar cross-section (RCS) aerial targets. Currently, the popularity …
An investigation of rotary drone HERM line spectrum under manoeuvering conditions
P Klaer, A Huang, P Sévigny, S Rajan, S Pant… - Sensors, 2020 - mdpi.com
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 …
manoeuverable drones with on-board sensors of increasing sensing capabilities. In this …
Detection of micro-Doppler signals of drones using radar systems with different radar dwell times
J Gong, J Yan, D Li, D Kong - Drones, 2022 - mdpi.com
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 …
engine modulation, JEM) produced by the rotating blades in radar signals of drones …
Micro-motion classification of flying bird and rotor drones via data augmentation and modified multi-scale cnn
X Chen, H Zhang, J Song, J Guan, J Li, Z He - Remote Sensing, 2022 - mdpi.com
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 …
by radar, a micro-motion feature classification method is proposed in this paper. Using K …