1.信息工程大学信息技术研究所,河南 郑州 450001
2.紫金山实验室,江苏 南京 211111
[ "焦世恒(2001- ),男,信息工程大学信息技术研究所硕士生,主要研究方向为通信感知一体化和物理层安全等。" ]
[ "钟州(1982- ),男,博士,信息工程大学信息技术研究所副教授、硕士生导师,主要研究方向为智能超表面、物理层安全、阵列信号处理等。" ]
[ "马克明(1985- ),男,信息工程大学信息技术研究所副研究员,主要研究方向为智能超表面、物理层安全、阵列信号处理等。" ]
[ "胡晓言(1992- ),男,博士,信息工程大学信息技术研究所助理研究员,主要研究方向为物理层安全及信息安全。" ]
[ "华浩江(1994- ),男,博士,紫金山实验室助理研究员,主要研究方向为通信感知一体化、无线物理层安全、信息超材料等。" ]
收稿:2025-05-29,
修回:2025-06-23,
录用:2025-07-07,
纸质出版:2026-01-20
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焦世恒,钟州,马克明等.双窃听威胁下ISAC系统的保密速率折中分析与安全预编码设计[J].电信科学,2026,42(01):145-158.
Jiao Shiheng,Zhong Zhou,Ma Keming,et al.On the secrecy rate trade-off analysis and secure precoding design for ISAC systems under dual eavesdropping threats[J].Telecommunications Science,2026,42(01):145-158.
焦世恒,钟州,马克明等.双窃听威胁下ISAC系统的保密速率折中分析与安全预编码设计[J].电信科学,2026,42(01):145-158. DOI: 10.11959/j.issn.1000-0801.2026017.
Jiao Shiheng,Zhong Zhou,Ma Keming,et al.On the secrecy rate trade-off analysis and secure precoding design for ISAC systems under dual eavesdropping threats[J].Telecommunications Science,2026,42(01):145-158. DOI: 10.11959/j.issn.1000-0801.2026017.
研究了存在双窃听威胁的单站通信感知一体化(integrated sensing and communication,ISAC)系统。该系统中,基站与合法用户通信的同时,接收其反射的回波信号进行感知,而环境中存在窃听通信信息的通信窃听者(communication eavesdropper,ComEve)和监听合法用户回波信号进行被动感知窃听的感知窃听者(sensing eavesdropper,SenEve)。针对感知窃听问题,推导了感知保密速率的表达式,并建立了通信和感知保密速率的加权优化模型,求得兼顾两者安全性能的系统性能上界。为解决实际ISAC系统中的安全性能优化问题,建立了不同约束条件下最大化感知或通信保密速率的优化问题,得到了不同需求下的最优安全预编码设计方案。仿真结果表明,所提预编码方案相较于单一考虑通信或感知安全的预编码方案,系统整体安全性能平均提升约30%。
A single-station integrated sensing and communication (ISAC) system subject to dual eavesdropping threats was investigated. In this system
the base station communicates with a legitimate user and simultaneously receives the reflected echo signal from it for sensing. However
there is a communication eavesdropper (ComEve) that wiretaps communication information
and a sensing eavesdropper (SenEve) that passively eavesdrops on the legitimate user’s echo signal for sensing. Focusing on the sensing eavesdropping issue
the expression of sensing secrecy rate was derived
and a weighted optimization model of communication and sensing secrecy rates was formulated. This model helped to find the upper bound of system performance that balanced the security of both aspects. To enhance the security of practical ISAC systems
the optimization problems were established to maximize sensing or communication secrecy rate under different constraints
yielding optimal secure precoding designs for different requirements. Simulation results indicate that the proposed precoding scheme improves the overall system security performance by approximately 30% on average compared with the schemes that only consider the security of communication or sensing.
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