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基于IRS辅助的舰载DFRC系统感知性能优化方法

鲁杰龙 张贞凯 徐宝兄

电讯技术2026,Vol.66Issue(5):755-763,9.
电讯技术2026,Vol.66Issue(5):755-763,9.DOI:10.20079/j.issn.1001-893x.250107005

基于IRS辅助的舰载DFRC系统感知性能优化方法

IRS-assisted Sensing Performance Optimization Method for Shipboard Dual-function Radar and Communication(DFRC)Systems

鲁杰龙 1张贞凯 1徐宝兄1

作者信息

  • 1. 江苏科技大学 海洋学院,江苏 镇江 212028
  • 折叠

摘要

Abstract

The integration of radar and communication is an effective solution to the problem of marine spectrum scarcity in recent years,which can be used for efficient communication and sensing.In order to reduce the path loss on the complex sea surface,the intelligent reflecting surface(IRS)is introduced into the dual-function radar communication(DFRC)system to improve the signal quality by adding additional paths.At the same time,the performance optimization problem of radar communication integration is constructed to maximize the radar signal-to-interference-plus-noise ratio(SINR)under the condition of satisfying the constraints of communication SINR,transmission power and IRS reflection power.An alternating optimization algorithm based on the majorization-minimization(MM)framework is proposed.Firstly,the original high-dimensional optimization problem is decomposed into two low-complexity sub-problems.Then,the non-convex sub-problem is transformed into a quadratic constrained quadratic programming problem which is easy to be solved by MM algorithm.Finally,the semi-definite relaxation algorithm is used to iterate until convergence.The simulation results show that the SINR of the radar is improved by more than 3 dB under the same reflection coefficient.

关键词

双功能雷达通信(DFRC)/智能反射面/感知性能优化/交替优化

Key words

dual-function radar communication(DFRC)/intelligent reflecting surface/sensing performance optimization/alternating optimization

分类

信息技术与安全科学

引用本文复制引用

鲁杰龙,张贞凯,徐宝兄..基于IRS辅助的舰载DFRC系统感知性能优化方法[J].电讯技术,2026,66(5):755-763,9.

基金项目

国家自然科学基金资助项目(61871203) (61871203)

电讯技术

1001-893X

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