IRS辅助的感知与隐蔽通信一体化资源分配算法  

Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Integrated Sensing and Covert Communication

作　　者：周小波 阮丹阳 周修颖 夏桂阳 束锋 ZHOU Xiaobo;RUAN Danyang;ZHOU Xiuying;XIA Guiyang;SHU Feng(School of Information and Artificial Intelligence,Anhui Agricultural University,Hefei 230036,China;School of Information and Communication Engineering,Hainan University,Haikou 570228,China)

机构地区：[1]安徽农业大学信息与人工智能学院,合肥230036 [2]海南大学信息与通信工程学院,海口570228

出　　处：《电子与信息学报》2025年第2期375-385,共11页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62371004,62301005);安徽省高校协同创新项目(GXXT-2022-055)。

摘　　要：为了解决感知与通信一体化(ISAC)系统中的信息安全传输问题,该文研究智能反射面(IRS)辅助的感知与隐蔽通信一体化(ISACC)系统中的资源分配算法。首先,分析监测者Willie的最优检测性能,并推导了其最小检测错误概率的下界表达式。随后,推导目标估计的平均克拉美罗下界(CRLB)的解析表达式。在此基础上,构建以最小化平均CRLB为目标函数,以隐蔽需求、通信速率需求、IRS相移等为约束的优化问题。提出基于交替优化(AO)的惩罚连续凸近似(PSCA)的算法联合设计了感知信号协方差矩阵、通信信号波束成形以及IRS相移。仿真结果表明,所提IRS辅助的ISACC系统方案可以较好地均衡目标感知性能和隐蔽无线通信性能。Objective Integrated Sensing and Communication(ISAC)systems are considered key technologies for the upcoming 6G networks,offering a unified platform for wireless communication and environmental sensing.To enhance the security of ISAC systems,an Integrated Sensing and Covert Communication(ISACC)system is proposed.Additionally,an Intelligent Reflecting Surface(IRS)-assisted ISACC scheme is proposed to address the limitation of existing ISACC research,which cannot be applied to scenarios without a Line-of-Sight(LoS)link between the Base Station(BS)and the target.In this context,the average Cramér-Rao Lower Bound(CRLB)is adopted as a metric for sensing performance,aiming to overcome the limitations of traditional beampatterns in quantifying sensing performance directly.Methods The detection performance at warden Willie is first analyzed.An analytical expression for the average CRLB is then derived.Based on this,an optimization problem is formulated to minimize the average CRLB,subject to communication rate,covertness,and IRS phase shift constraints.The optimization problem is challenging to solve directly due to the coupling of the sensing covariance matrix,communication beamforming,and IRS reflective beamforming in the objective function,communication rate constraint,and covertness constraint.To tackle this,the optimization problem is decomposed into two subproblems:one for the sensing covariance matrix and communication beamforming optimization,and another for the IRS reflection beamforming optimization.An Alternating Optimization-based Penalty Successive Convex Approximation(AO-PSCA)algorithm is proposed to solve the two subproblems iteratively.Results and Discussions The relationship between the average CRLB,the number of IRS reflection elements,and the number of BS antennas is presented(Fig.2).As observed,the average CRLB obtained by the AOPSCA algorithm and the IRS random phase algorithm decreases as the number of IRS elements increases.This is because a larger number of IRS elements not only enhances covert c

关 键 词：感知与通信一体化 智能反射面 隐蔽通信 克拉美罗下界 波束成形 

分 类 号：TN918.91[电子电信—通信与信息系统]