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1.华南理工大学微电子学院,广东 广州 511442
2.华南理工大学未来技术学院,广东 广州 511442
3.香港中文大学(深圳)理工学院,广东 深圳 518172
[ "马甜甜(2002- ),女,华南理工大学微电子学院博士生,主要研究方向为5G/6G无线通信、智能反射面、智能可调控电磁隐身技术。" ]
[ "郑倍雄(1990- ),男,博士,华南理工大学微电子学院副教授、博士生导师,主要研究方向为5G/6G无线通信、信号处理与最优化方法、智能反射面、卫星通信和海事通信、大规模天线技术和毫米波通信、通感一体化、智能可调控电磁隐身技术。" ]
[ "熊雪(1996- ),女,华南理工大学未来技术学院博士生,主要研究方向为5G/6G无线通信、信号处理与最优化方法、智能反射面、通感一体化、智能可调控电磁隐身技术。" ]
[ "张瑞(1976- ),男,香港中文大学(深圳)理工学院校长学勤讲座教授,新加坡工程院院士,IEEE Fellow,主要研究方向为智能通信、无人机/卫星通信、无线信能同传、智能反射面、可重构MIMO。" ]
收稿日期:2024-05-30,
修回日期:2024-07-10,
纸质出版日期:2024-07-20
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马甜甜,郑倍雄,熊雪等.面向6G的智能反射面辅助电磁隐身:最新进展与未来展望[J].电信科学,2024,40(07):25-33.
MA Tiantian,ZHENG Beixiong,XIONG Xue,et al.Intelligent reflecting surface-enabled electromagnetic stealth for 6G: recent advances and future prospects[J].Telecommunications Science,2024,40(07):25-33.
马甜甜,郑倍雄,熊雪等.面向6G的智能反射面辅助电磁隐身:最新进展与未来展望[J].电信科学,2024,40(07):25-33. DOI: 10.11959/j.issn.1000-0801.2024188.
MA Tiantian,ZHENG Beixiong,XIONG Xue,et al.Intelligent reflecting surface-enabled electromagnetic stealth for 6G: recent advances and future prospects[J].Telecommunications Science,2024,40(07):25-33. DOI: 10.11959/j.issn.1000-0801.2024188.
无线技术的蓬勃发展推动了现代战争的高度信息化,开启了电子对抗的新篇章。随着先进雷达技术的不断革新,导弹、飞机等武器装备的生存能力面临前所未有的挑战。电磁隐身技术的发展和应用能够有效提高武器的生存能力,成为国防技术发展的重要方向。然而,传统电磁隐身技术往往受实际条件的限制,无法满足现代化战争对隐身作战的需求。为了应对这一挑战,提出智能反射面(intelligent reflecting surface,IRS)辅助电磁隐身技术,利用智能反射面抑制或重定向反射信号,实现自适应的透明式或欺骗式电磁隐身。为了充分挖掘智能反射面在电磁隐身领域中的广阔应用前景,讨论了智能反射面辅助电磁隐身系统的基本原理、系统模型、设计挑战和潜在的研究方向,旨在为未来电磁隐身技术的发展提供方向性的指导。
The rapid development of wireless technology has driven a high level of informatization in modern warfare
opening a new era in electronic countermeasures (ECM). With the continuous innovation of advanced radar technology
the survival capability of weapons and equipment such as missiles and aircraft is facing unprecedented challenges. The development and application of electromagnetic stealth technology can effectively enhance the survivability of modern weapons
which becomes a crucial direction for military technology development. However
traditional electromagnetic stealth technologies are often constrained by practical conditions and fail to meet the stealth requirements of military operations. To address this issue
intelligent reflecting surface (IRS)-enabled electromagnetic stealth technology was proposed. This technology utilized IRS to suppress or redirect reflected signals
thus achieving adaptive transparent or deceptive electromagnetic stealth. To fully explore the great potential of IRS in the field of electromagnetic stealth
the basic principles
system models
design challenges
and open issues of IRS-enabled electromagnetic stealth were discussed
aiming to provide directional guidance for the future development of electromagnetic stealth technology.
MAHMOOD N H , ALVES H , LÓPEZ O A , et al . Six key features of machine type communication in 6G [C ] // Proceedings of the 2020 2nd 6G Wireless Summit (6G SUMMIT) . Piscataway : IEEE Press , 2020 : 1 - 5 .
赵亚军 , 郁光辉 , 徐汉青 . 6G 移动通信网络: 愿景, 挑战与关键技术 [J ] . 中国科学: 信息科学 , 2019 , 49 ( 8 ): 963 - 987 .
ZHAO Y J , YU G H , XU H Q . 6G mobile communication networks: vision, challenges, and key technologies [J ] . Science China: Information Sciences , 2019 , 49 ( 8 ): 963 - 987 .
夏新仁 . 隐身技术发展现状与趋势 [J ] . 中国航天 , 2002 ( 1 ): 40 - 44 .
XIA X R . The development of stealth technology [J ] . Aerospace China , 2002 ( 1 ): 40 - 44 .
AHMAD H , TARIQ A , SHEHZAD A , et al . Stealth technology: methods and composite materials—a review [J ] . Polymer Composites , 2019 , 40 ( 12 ): 4457 - 4472 .
FANG X Y , LI M M , LI S Y , et al . Diverse frequency time modulation for passive false target spoofing: design and experiment [J ] . IEEE Transactions on Microwave Theory and Techniques , 2024 , 72 ( 3 ): 1932 - 1942 .
DU C , CONG Y L , ZHANG L , et al . A practical deceptive jamming method based on vulnerable location awareness adversarial attack for radar HRRP target recognition [J ] . IEEE Transactions on Information Forensics and Security , 2022 , 17 : 2410 - 2424 .
张磊 , 陈晓晴 , 郑熠宁 , 等 . 电磁超表面与信息超表面 [J ] . 电波科学学报 , 2021 , 36 ( 6 ): 817 - 828 .
ZHANG L , CHEN X Q , ZHENG Y N , et al . Electromagnetic metasurfaces and information metasurfaces [J ] . Chinese Journal of Radio Science , 2021 , 36 ( 6 ): 817 - 828 .
WU Q Q , ZHANG S W , ZHENG B X , et al . Intelligent reflecting surface-aided wireless communications: a tutorial [J ] . IEEE Transactions on Communications , 2021 , 69 ( 5 ): 3313 - 3351 .
ZHENG B X , YOU C S , MEI W D , et al . A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 2 ): 1035 - 1071 .
WU Q Q , ZHENG B X , YOU C S , et al . Intelligent surfaces empowered wireless network: recent advances and the road to 6G [J ] . arXiv preprint arXiv: 2312.16918 , 2023 .
ZHENG B X , XIONG X , TANG J , et al . Intelligent reflecting surface-aided electromagnetic stealth against radar detection [J ] . arXiv preprint , arXiv: 2312.01940 , 2023 .
XIONG X , ZHENG B X , SWINDLEHURST A L , et al . A new intelligent reflecting surface-aided electromagnetic stealth strategy [J ] . IEEE Wireless Communications Letters , 2024 , 13 ( 5 ): 1498 - 1502 .
SHAO X D , ZHANG R . Target-mounted intelligent reflecting surface for secure wireless sensing [J ] . IEEE Transactions on Wireless Communications , 2024 , PP(99): 1.
ZHENG B X , XIONG X , MA T T , et al . Intelligent reflecting surface-enabled anti-detection for secure sensing and communications [J ] . arXiv preprint , arXiv: 2404.08366 , 2024 .
WANG H Z , ZHENG B X , SHAO X D , et al . Intelligent reflecting surface-aided radar spoofing [J ] . arXiv preprint , arXiv: 2405.06951 , 2024 .
WU J X , FAN P Z . A survey on high mobility wireless communications: challenges, opportunities and solutions [J ] . IEEE Access , 2016 , 4 : 450 - 476 .
PAN C H , ZHOU G , ZHI K D , et al . An overview of signal processing techniques for RIS/IRS-aided wireless systems [J ] . IEEE Journal of Selected Topics in Signal Processing , 2022 , 16 ( 5 ): 883 - 917 .
BERGER C R , WANG Z H , HUANG J Z , et al . Application of compressive sensing to sparse channel estimation [J ] . IEEE Communications Magazine , 2010 , 48 ( 11 ): 164 - 174 .
SOLTANI M , POURAHMADI V , MIRZAEI A , et al . Deep learning-based channel estimation [J ] . IEEE Communications Letters , 2019 , 23 ( 4 ): 652 - 655 .
ZHENG B X , YOU C S , ZHANG R . Double-IRS assisted multi-user MIMO: cooperative passive beamforming design [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 7 ): 4513 - 4526 .
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