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IRS辅助无线感知系统的安全性能优化

孙钢灿 赵心睿 郝万明 彭淑敏

郑州大学学报(工学版)2025,Vol.46Issue(6):1-7,48,8.
郑州大学学报(工学版)2025,Vol.46Issue(6):1-7,48,8.DOI:10.13705/j.issn.1671-6833.2025.06.004

IRS辅助无线感知系统的安全性能优化

Security Performance Optimization of IRS-assisted Wireless Sensing Systems

孙钢灿 1赵心睿 2郝万明 3彭淑敏3

作者信息

  • 1. 郑州大学 河南先进技术研究院,河南 郑州 450001||郑州大学 电气与信息工程学院,河南 郑州 450001
  • 2. 郑州大学 河南先进技术研究院,河南 郑州 450001
  • 3. 郑州大学 电气与信息工程学院,河南 郑州 450001
  • 折叠

摘要

Abstract

To address the sensing security issue of unauthorized radar station(URS)stealing target information in multi-radar scenarios,a secure wireless sensing system model based on intelligent reflecting surface(IRS)assis-tance was proposed.This system deployed an IRS with sensing capabilities on the target and adopted a two-phase sensing scheme.In the first phase,the IRS sensing unit estimated the angle information of all radars.In the second phase,the IRS reflection coefficients were designed based on the estimation results to minimize the perception prob-ability of URS.Specifically,under the constraints of ensuring the signal-to-noise ratio of the legitimate radar station(LRS)and the IRS reflection phase shift modulus,an optimization problem was formulated to minimize the maxi-mum signal-to-noise ratio of the URS.An iterative optimization algorithm based on the Dinkelbach method and semidefinite relaxation(SDR)technique was proposed.Simulation results showed that compared to the scheme without IRS,the signal-to-noise ratio of the LRS improved by approximately 3 dB,while the signal-to-noise ratio of the URS decreased by about 12 dB,demonstrating that the proposed scheme significantly enhanced system security performance.

关键词

智能反射面/雷达感知/感知安全/到达角估计/反射优化

Key words

intelligent reflecting surface/radar sensing/sensing security/angle-of-arrival estimation/reflection op-timization

分类

信息技术与安全科学

引用本文复制引用

孙钢灿,赵心睿,郝万明,彭淑敏..IRS辅助无线感知系统的安全性能优化[J].郑州大学学报(工学版),2025,46(6):1-7,48,8.

基金项目

国家自然科学基金资助项目(62471440) (62471440)

河南省科技攻关项目(242102211100) (242102211100)

郑州大学学报(工学版)

OA北大核心

1671-6833

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