摘要
智能反射表面技术在金融信息系统中的应用为抗干扰性能提升提供了新思路。针对传统金融信息系统在复杂电磁环境下易受干扰的问题,提出一种基于智能反射表面的自适应抗干扰方案。通过构建智能反射表面增强的信道模型、设计反射相位优化算法,实现对有用信号的定向增强和干扰信号的定向抑制。实验结果表明,在-10 dB信干比条件下,系统比特错误率降低了85%,数据传输可靠性显著提升,为金融信息系统的安全、稳定运行提供了有效保障。
he application of intelligent reflective surface technology in financial information systems provides new ideas for improving anti-interference performance.A self-adaptive anti-interference scheme based on intelligent reflective surfaces is proposed to address the issue of traditional financial information systems being susceptible to interference in complex electromagnetic environments.By constructing an intelligent reflective surface enhanced channel model and designing a reflection phase optimization algorithm,directional enhancement of useful signals and directional suppression of interference signals can be achieved.The experimental results show that under the condition of-10dB signal-to-noise ratio,the system bit error rate is reduced by 85%,and the data transmission reliability is significantly improved,providing effective guarantee for the safe and stable operation of financial information systems.
作者
李思旭
LI Sixu(Jilin Province Financial Security Research Base,Changchun,Jilin Province,130124 China)
出处
《科技资讯》
2025年第20期39-42,共4页
Science & Technology Information
基金
长春金融高等专科学校校级课题“智能反射表面(IRS)在金融信息安全领域的应用研究”(项目编号:2024JZ014)
长春金融高等专科学校校级课题“分形加权局部形态模式算法在金融货币图像中的应用”(项目编号:2024JZ015)的阶段性研究成果。
关键词
智能反射表面
金融信息系统
抗干扰
信道优化
相位调控
Intelligent reflective surface
Financial information system
Anti-interference
Channel optimization
Phase control
