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1.西安交通大学 电子与信息学部 信息与通信工程学院, 陕西 西安 710049
2.西安电子科技大学 雷达信号处理全国重点实验室,陕西 西安 710071
3.空军工程大学 信息与导航学院,陕西 西安 710071
Received:29 December 2025,
Revised:2026-03-13,
Accepted:09 April 2026,
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ZHENG Tongxing, WANG Kewei, LAN Lan, et al. Joint Transmit and Passive Beamforming Design for RIS-Assisted Secure ISAC Systems with Multiple Users and Targets[J/OL]. Telecommunications Science, 2026.
ZHENG Tongxing, WANG Kewei, LAN Lan, et al. Joint Transmit and Passive Beamforming Design for RIS-Assisted Secure ISAC Systems with Multiple Users and Targets[J/OL]. Telecommunications Science, 2026. DOI: 10.11959/j.issn.1000-0801.DXKX250755.
通信感知一体化技术突破了传统无线网络中通信与感知相互独立的限制,可以显著提升网络资源利用效率和灵活性,并可广泛应用于智慧城市、应急救灾等各种军民领域。然而,由于无线信道的开放性,通感一体化系统在利用通信信号感知目标的过程中,势必引入更严重的信息泄露,因此相较于传统无线通信系统,面临着更为严峻的安全挑战。幸运的是,智能超表面(Reconfigurable Intelligent Surface
RIS)技术通过改变电磁信号传播参数,可以灵活重构无线安全传输环境,对于提升通感一体化系统的安全性能具有极大潜力。本文考虑多通信用户和多感知目标共存的安全通感一体化系统,研究了基于RIS辅助的通感一体化安全通信技术,提出了基站与RIS的波束成形联合优化算法,旨在满足感知约束并最大化合法用户的和安全速率。本文提出了交替优化框架,嵌套使用了分式规划、连续凸逼近以及半正定松弛等算法,有效解决了原始非凸问题。仿真结果验证了所提算法的有效性:在固定同一信道实现并采用相同参数初始化条件下,本文方法可达的和安全速率相较于随机RIS相位算法可获得49.49%的提升,同时揭示了感知与安全通信两者存在的折中关系。
Integrated sensing and communication (ISAC) technology breaks the limitation of traditional wireless networks in which communication and sensing operate independently
and can significantly improve network resource utilization efficiency and system flexibility. It has been widely applied in various civilian and military fields
such as smart cities and emergency rescue. However
due to the openness of wireless channels
ISAC systems inevitably introduce more severe information leakage when communication signals are exploited for target sensing
and thus face more stringent security challenges compared to conventional wireless communication systems. Fortunately
reconfigurable intelligent surface (RIS)
which can flexibly reconfigure the wireless transmission environment by adjusting electromagnetic signal propagation parameters
have shown great potential in enhancing the security performance of ISAC systems. In this paper
a secure ISAC system with multiple communication users and multiple sensing targets was considered
and RIS-assisted secure ISAC transmission was investigated. A joint transmit and passive beamforming optimization algorithm for the base station and the RIS was proposed to satisfy sensing constraints while maximizing the sum secure rate of legitimate users. An alternating optimization framework was developed
in which fractional programming
successive convex approximation
and semidefinite relaxation techniques were embedded to effectively solve the original non-convex problem. Simulation results demonstrated the effectiveness of the proposed algorithm. Under the same parameter initialization in a single convergence test
the achievable sum secure rate of the proposed method was improved by 49.49% compared with the random RIS phase scheme
and the trade-off between sensing performance and secure communication was revealed.
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