面向城市低空安全的反无人机技术:从探测、识别到中和OA
Anti-UAV technologies for urban low-altitude security:from detection and identification to neutralization
低空经济的快速发展推动了无人机的大规模应用,但未经授权的飞行活动日益威胁城市安全,引发碰撞、侵权及违规袭扰等严重隐患.针对这一新兴空域环境,对反无人机技术的相关研究进行了系统性综述.首先,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,围绕感知、识别和反制3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,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,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.
While the booming low-altitude economy accelerates UAV adoption,unauthorized flights increasingly threaten urban safety,giving rise to collision,privacy-related,and security risks.Addressing this emerging airspace envi-ronment,anti-UAV technologies were reviewed systematically.Firstly,key urban low-altitude challenges were outlined:complex sensing environments,difficult target identification,and limited countermeasure options.Subsequently,main-stream technologies were reviewed across three stages:sensing(radar,RF,optical/infrared,acoustics,and multimodal fu-sion),identification(identity-and behavior-based methods),and countermeasures(jamming,spoofing/hijacking,physi-cal capture,and kinetic damage).Meanwhile,core evaluation metrics and experimental setups were summarized,high-lighting the gap between academia and industry.Finally,future trends were discussed toward networked sensing,intelli-gent identification,and collaborative countermeasures.
王景璟;王智伟;高畅;陈健瑞;杜皓华;姜春晓
北京航空航天大学网络空间安全学院,北京 100191北京航空航天大学网络空间安全学院,北京 100191北京航空航天大学网络空间安全学院,北京 100191北京航空航天大学网络空间安全学院,北京 100191||鹏城实验室,广东 深圳 518100北京航空航天大学网络空间安全学院,北京 100191清华大学信息国家研究中心,北京 100084
航空航天
低空安全反无人机技术多源感知分类识别目标中和
low-altitude securityanti-UAV technologymulti-source sensingclassification and identificationtarget neutralization
《通信学报》 2026 (9)
269-285,17
国家自然科学基金资助项目(No.U24A20213,No.62571011,No.72542016)北京市自然科学基金资助项目(No.QY24126) The National Natural Science Foundation of China(No.U24A20213,No.62571011,No.72542016),The Natural Science Foundation of Beijing(No.QY24126)
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