IEEE Aerospace and Electronic Systems Magazine · 2023 · 18 citations · 18 references
EngineeringAerospace EngineeringAerial RoboticsAvionicsUnmanned Aircraft SystemsAir WarfareMilitary TechnologyRadar InstrumentationRadar Signal ProcessingRadar SystemsSurveillance ApplicationsDrone StrikeDrones In WarfareOverviewRadar TrackingUnmanned Aerial Vehicle ControlUnmanned Aerial Vehicle ImagingUnmanned Aerial Vehicle Remote SensingUnmanned Aerial Vehicle Surveys
The proliferation of unmanned aerial system (UAS) technology has made counter unmanned aerial systems (C-UAS) a ubiquitous weapon in UAS conflicts. The advancement of UAS (drones) has elevated them to be highly relied upon assets for military applications and they have become a weapon of choice for nonstate groups with nefarious intent. These groups employ the technology for surveillance, battlespace management, propaganda, and aerial strike attacks, often to considerable effect. Radars are the primary sensor for most C-UAS to combat threat UAS. They provide persistent detection, tracking, and classification at ranges beyond visual line of sight (LOS). Additionally, they are capable of 24/7 operation in all-weather conditions. This article provides insight on future radar advancements for C-UAS. Prior to describing radar advancements, a detailed overview of existing challenges and current solutions is presented. The challenges are expounded upon to provide an understanding of how they impact radar performance. Existing radar solutions are also discussed providing insight into how C-UAS radar challenges are being solved today. This article provides insight into what is on the technological horizon for C-UAS radars.
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David G. Long · IEEE Transactions on Acoustics Speech and Signal Processing · 1985 · 363 citations
Drone detection by acoustic signature identification
Andrea Bernardini, Federica Mangiatordi, Emiliano Pallotti et al. · Electronic Imaging · 2017 · 166 citations
Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems
Honggu Kang, Jingon Joung, Jinyoung Kim et al. · IEEE Access · 2020 · 153 citations · Full text
Empirical study of drone sound detection in real-life environment with deep neural networks
Sungho Jeon, Jong-Woo Shin, Youngjun Lee et al. · 2017 · 143 citations