RIS辅助双基站ISAC系统中利用统计CSI的安全传输方法

刘一龙; 张军; 倪艺洋

doi:10.11959/j.issn.2096

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RIS辅助双基站ISAC系统中利用统计CSI的安全传输方法

更新时间：2026-03-03

- RIS辅助双基站ISAC系统中利用统计CSI的安全传输方法
- Secure transmission scheme for RIS enabled bi-staticISAC system based on statistical CSI
- 物联网学报 2026年
- 作者机构：
  
  1.南京邮电大学波特兰学院，江苏南京 210003
  2.南京邮电大学通信与信息工程学院，江苏南京 210003
  3.江苏第二师范学院物理与信息工程学院，江苏南京 210013
- 作者简介：
  
  张军，zhangjun@njupt.edu.cn
- 基金信息：
  
  国家自然科学基金面上项目(62071247;62471204);江苏省高校自然科学研究重大项目(24KJA510003)
- DOI：10.11959/j.issn.2096
  中图分类号： TN92
- 收稿：2025-02-18，
  
  修回：2025-03-08，
  
  录用：2025-03-25，
- 稿件说明：
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刘一龙, 张军, 倪艺洋. RIS辅助双基站ISAC系统中利用统计CSI的安全传输方法[J/OL]. 物联网学报, 2026.

LIU Yilong, ZHANG Jun, NI Yiyang. Secure transmission scheme for RIS enabled bi-staticISAC system based on statistical CSI[J/OL]. Chinese Journal on Internet of Things, 2026.
刘一龙, 张军, 倪艺洋. RIS辅助双基站ISAC系统中利用统计CSI的安全传输方法[J/OL]. 物联网学报, 2026. DOI： 10.11959/j.issn.2096.

LIU Yilong, ZHANG Jun, NI Yiyang. Secure transmission scheme for RIS enabled bi-staticISAC system based on statistical CSI[J/OL]. Chinese Journal on Internet of Things, 2026. DOI： 10.11959/j.issn.2096.

摘要

针对智能超表面(Reconfigurable Intelligent Surface

RIS)辅助通信感知一体化系统中通信与感知的安全性问题，在合法感知信噪比(Signal-to-Noise Ratio

SNR)约束、窃听感知SNR约束、发射功率约束以及RIS相移矩阵恒模约束下，提出了一个系统遍历保密速率下界最大化的发射协方差矩阵与RIS相移矩阵联合设计方法。首先，通过大维随机矩阵理论获得遍历保密速率下界和感知SNR的渐近表达式。其次，基于统计信道状态信息，利用一阶泰勒展开与改进的注水算法，推导了最优的发射协方差矩阵，并利用障碍法与投影梯度下降算法，获得了次优的RIS相移矩阵。最后，仿真结果验证了大系统分析的准确性与所提方案的有效性。

Abstract

Considering the issues of communication and sensing securities for the reconfigurable intelligent surface (RIS) enabled integrated sensing and communication system

a joint design for the transmit covariance matrix and the reflection matrix of the RIS is proposed to maximize the ergodic secrecy rate under the constraints of legal sensing signal-to-noise ratio (SNR)

eavesdropper sensing SNR

transmit power

and the constant modulus for the reflection matrix of the RIS. Firstly

the asymptotic ergodic secrecy rate lower bound and the asymptotic sensing SNRs are derived by exploiting the large dimensional random matrix theory. Then

based on the statistical channel state information

the optimal closed-form optimal solution for the transmit covariance matrix is derived by exploiting the modified water-filling algorithm and the first-order Taylor series expansion

and sub-optimal the reflection matrix of the RIS is obtained by employing the barrier method and the projected gradient ascent method. Finally

numerical simulations validate the accuracy of the large-system analysis and the superiority of the proposed method.

关键词

Keywords

references

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