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低空通感一体融合网络:演进趋势、未来挑战与机遇OA

Low-Altitude Integrated Sensing and Communication Networks:Evolutionary Trends,Future Challenges,and Opportunities

中文摘要英文摘要

针对低空复杂场景中的感知盲区、LSS目标和遮挡目标检测困难以及密集杂波干扰等问题,梳理了低空ISAC网络的演进趋势与关键挑战,并对潜在技术方向进行前瞻性讨论.首先,梳理了感知体系从传统单站、远场探测向异构多模态协同与ELAA近场高分辨感知的演进脉络;其次,深度剖析了三维复杂环境带来的NLoS遮挡与非平稳干扰等核心挑战.为突破上述瓶颈,重点论述了基于CKM的环境先验构建、先验辅助的目标检测以及生成式AI驱动的干扰抑制等关键技术;在此基础上,进一步讨论了如何将多源感知信息转化为位置相关的信道知识,并服务信道预测、波束管理与移动性管理等通信功能.最后,面向低空场景实测与工程应用,对相关技术的未来发展方向进行了讨论.综合来看,低空ISAC网络的进一步发展需要持续提升感知与通信协同能力,并加强复杂场景下的实测验证,相关梳理可为后续技术研究与工程应用提供参考.

To address the challenges of sensing blind spots,difficult detection of low-slow-small and occluded targets,and severe clutter interference in complex low-altitude environments,this paper systematically reviews the evolutionary trends and key challenges of low-altitude integrated sensing and communication(ISAC)networks and provides a forward-looking discussion of potential technological directions.First,the evolution of sensing systems from conventional monostatic and far-field sensing toward heterogeneous multimodal collaboration and high-resolution near-field sensing enabled by extremely large aperture arrays is reviewed.Second,key challenges arising from complex three-dimensional environments,including non-line-of-sight blockage and nonstationary interference,are analyzed in depth.To overcome these challenges,key technologies are discussed,including the construction of environmental priors based on channel knowledge maps,prior-assisted target detection,and generative artificial intelligence-driven interference suppression.On this basis,the conversion of multisource sensing information into location-specific channel knowledge is further investigated,along with its applications to communication functions such as channel prediction,beam management,and mobility management.Finally,future research directions are discussed with an emphasis on field measurements and practical deployment in low-altitude scenarios.Overall,the further development of low-altitude ISAC networks requires stronger coordination between sensing and communication as well as extensive measurement-based validation in complex environments.This review provides a useful reference for future research and practical applications of low-altitude ISAC technologies.

刘佳豪;袁晓军

电子科技大学,四川 成都 611731电子科技大学,四川 成都 611731

信息技术与安全科学

低空通感一体化超大规模天线阵列异构融合信道图谱人工智能

low-altitude integrated sensing and communicationextremely large aperture arraysheterogeneous fusionchannel knowledge mapsartificial intelligence

《移动通信》 2026 (9)

14-20,30,8

国家自然科学基金项目"信道图谱的构建及其在6G无线通信中的应用"(62571087)通信抗干扰全国重点实验室基础科研创新基金项目"基于生成式AI的多天线阵列通感一体抗干扰技术研究"(IFN202507)

10.3969/j.issn.1006-1010.20260608-0001

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