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  • 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): - .    [点击复制]
  • LU Jielong,ZHANG Zhenkai,XU Baoxiong.IRS-assisted Sensing Performance Optimization Method for Shipboard Dual-function Radar and Communication(DFRC) Systems[J].,2026,66(5): - .   [点击复制]
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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
0
(江苏科技大学 海洋学院,江苏 镇江 212028)
摘要:
雷达通信一体化是近年来出现的一种解决海上频谱稀缺问题的有效方案,可用于高效通信和感知。为了减轻复杂海面上的路径损耗,将智能反射面(Intelligent Reflecting Surface,IRS)引入双功能雷达通信(Dual-function Radar and Communication,DFRC)系统中,通过增加额外路径来提升信号质量。同时,将雷达通信一体化的性能优化问题构建为在满足通信信干噪比、发射功率和IRS反射功率约束的条件下最大化雷达信干噪比,提出了一种基于优化极小化(Majorization-Minimization,MM)框架下的交替优化算法。首先将原高维优化问题分解为两个低复杂度的子问题,然后通过MM算法将非凸子问题转化为一个易于求解的二次约束二次规划问题,最后采用半定松弛算法迭代求解直至收敛。仿真实验证明,所提方法在相同的反射系数下,使雷达的信干噪比提升了3 dB以上。
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
DOI:10.20079/j.issn.1001-893x.250107005
基金项目:国家自然科学基金资助项目(61871203)
IRS-assisted Sensing Performance Optimization Method for Shipboard Dual-function Radar and Communication(DFRC) Systems
LU Jielong,ZHANG Zhenkai,XU Baoxiong
(Ocean College,Jiangsu University of Science and Technology,Zhenjiang 212028,China)
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.
Key words:  dual-function radar communication(DFRC)  intelligent reflecting surface  sensing performance optimization  alternating optimization
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