智能超表面辅助的多用户多目标安全通感系统主被动波束成形联合优化设计

郑通兴; 王可为; 兰岚; 赵丙清; 王翔; 王文杰

doi:10.11959/j.issn.1000-0801.DXKX250755

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智能超表面辅助的多用户多目标安全通感系统主被动波束成形联合优化设计

更新时间：2026-05-07

- 智能超表面辅助的多用户多目标安全通感系统主被动波束成形联合优化设计
- Joint Transmit and Passive Beamforming Design for RIS-Assisted Secure ISAC Systems with Multiple Users and Targets
- 电信科学 2026年
- 作者机构：
  
  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
- 作者简介：
  
  [ "郑通兴（1987-），男，博士，西安交通大学电信学部信通学院教授，主要研究方向为无线物理层安全和隐蔽通信、通信感知一体化、可重构智能天线技术。" ]
  [ "王可为（1999-），男，硕士，西安交通大学电信学部信通学院博士研究生，主要研究方向为无线物理层安全和隐蔽通信、通信感知一体化、可重构智能天线技术。" ]
  [ "兰岚（1993-），女，博士，西安电子科技大学雷达信号处理全国重点实验室教授、主任助理，主要研究方向新体制阵列雷达信号处理。" ]
  [ "赵丙清（1994—），女，博士，空军工程大学信息与导航学院讲师，主要研究方向为通信感知一体化、物理层安全等。" ]
  [ "王翔（1984-），男，博士，空军工程大学信息与导航学院通信系统教研室主任，副教授，研究方向：信息与通信工程。" ]
  [ "王文杰（1971-），男，博士，西安交通大学电信学部信通学院院长、教授，主要研究方向为智能天线、无线通信和信号处理。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX250755
  中图分类号： TN918
- 收稿：2025-12-29，
  
  修回：2026-03-13，
  
  录用：2026-04-09，
- 稿件说明：
移动端阅览
郑通兴, 王可为, 兰岚, 等. 智能超表面辅助的多用户多目标安全通感系统主被动波束成形联合优化设计[J/OL]. 电信科学, 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.
郑通兴, 王可为, 兰岚, 等. 智能超表面辅助的多用户多目标安全通感系统主被动波束成形联合优化设计[J/OL]. 电信科学, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX250755.

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.

摘要

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。

Abstract

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.

关键词

Keywords

references

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