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1.北京航空航天大学网络空间安全学院,北京 100191
2.鹏城实验室,广东 深圳 518100
3.清华大学信息国家研究中心,北京 100084
Received:29 June 2026,
Revised:2026-08-23,
Accepted:24 August 2026,
移动端阅览
Wang Jingjing, Wang Zhiwei, Gao Chang, et al. Anti-UAV Technologies for Urban Low-Altitude Security: From Detection and Identification to Neutralization[J/OL]. Journal on Communications, 2026.
Wang Jingjing, Wang Zhiwei, Gao Chang, et al. Anti-UAV Technologies for Urban Low-Altitude Security: From Detection and Identification to Neutralization[J/OL]. Journal on Communications, 2026. DOI: 10.11959/j.issn.1000-436x.TXXB260380.
低空经济的快速发展加速了无人机的大规模部署,但未经授权的无人机活动正日益威胁城市公共安全,引发包括空中碰撞、隐私侵犯、以及对关键基础设施与公共活动的违规袭扰等严重隐患。针对这一新兴空域环境,本文对反无人机技术的相关研究进行了系统性综述。首先,文章概述了城市低空安全所面临的独特挑战,如复杂的感知环境、困难的目标识别以及有限的反制手段等。随后,文章围绕感知、识别和反制三个阶段,详细梳理了当前的主流技术手段:在感知层面,涵盖了雷达、射频、光学与红外、声学及多模态融合等探测技术;在识别层面,剖析了基于身份与基于行为的识别技术;在反制层面,归纳了干扰压制、欺骗劫持、物理捕获、打击毁伤等中和技术。同时,文章总结了各阶段的核心评估指标与实验环境设定,对比了学术界与工业界之间的差异。最后,本文展望了反无人机技术的未来趋势,即感知网络化、识别智能化与反制协同化。
The rapid development of the low-altitude economy has accelerated the large-scale deployment of unmanned aerial vehicles (UAVs). However
unauthorized UAV activities are increasingly threatening urban public safety
giving rise to severe potential hazards including mid-air collisions
privacy infringements
and non-compliant harassment or attacks against critical infrastructure and public events. Addressing this emerging airspace environment
this paper presents a systematic review of research on anti-UAV technologies. First
the paper outlines the unique challenges faced by urban low-altitude security
such as complex sensing environments
difficult target identification
and limited countermeasure options. Subsequently
centered on three stages—sensing
identification
and countermeasure—the current mainstream technical means are comprehensively reviewed. At the sensing level
detection technologies including radar
radio frequency (RF)
optical and infrared
acoustics
and multimodal fusion are covered; at the identification level
identification technologies based on identity and behavior are analyzed; at the countermeasure level
neutralization technologies such as jamming suppression
deceptive hijacking
physical capture
and kinetic damage are summarized. Meanwhile
the core evaluation metrics and experimental environment settings of each stage are concluded
with a comparison made between the differences in academia and industry. Finally
the paper forecasts the future trends of anti-UAV technologies
namely
networked sensing
intelligent identification
and collaborative countermeasure.
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