面向通信抗干扰的智能反射面鲁棒波束赋形设计  

Robust Beamforming Design for IRS-Aided Communication Anti-Jamming

作　　者：辜怡然 方贵 何松涛 秦思娜 李天晨 管新荣 GU Yiran;FANG Gui;HE Songtao;QIN Sina;LI Tianchen;GUAN Xinrong(Army Engineering University of PLA,Nanjing Jiangsu 210007,China)

机构地区：[1]中国人民解放军陆军工程大学,江苏南京210007

出　　处：《通信技术》2023年第9期1031-1035,共5页Communications Technology

基　　金：国家自然科学基金(62171461)。

摘　　要：智能反射面的信道操控能力为提升战场环境下的通信抗干扰提供了新的途径。然而,在激烈对抗的战场环境下难以获取敌方干扰机的精确位置,给智能反射面的效用发挥带来挑战。对此,提出了一种面向通信抗干扰的智能反射面鲁棒波束赋形方法。首先,对敌方干扰节点位置进行建模,得到一个基于凸包的有界位置误差模型,并得到接收信干噪比表达式;其次,通过分式规划及半正定规划将信干噪比最大化非凸问题转凸求解;最后,通过仿真结果验证了所提算法的有效性。The channel manipulation capability of IRS(Intelligent Reflecting Surface)provides a new approach to improve communication anti-jamming in battlefield environments.However,in the fiercely competitive battlefield environment,it is difficult to obtain the precise position of enemy jammers,which poses a challenge to the design of IRS passive beamforming.As such,this paper proposes an IRS robust passive beamforming scheme to tackle this challenge.First,the position of the jamming node is modeled to obtain a convex hulls based bounded position error model and to obtain an expression for the received SINR(Signal-to-Interference-and-Noise Ratio).Then,the non-convex SINR maximization problem is transformed into convex,which is then solved by adopting the fractional programming and semi-definite programming method.Finally,the effectiveness of the proposed algorithm is verified via simulation results.

关 键 词：抗干扰 智能反射面 波束赋形 无线通信 信息传输 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]