无线电通信技术2026，Vol.52Issue(1)：36-43,8.DOI:10.3969/j.issn.1003-3114.2026.01.004
基于功率约束的MIMO雷达通信一体化波形设计
Power-constrained Joint MIMO Radar-Communication Waveform Design
摘要
Abstract
With the increasing scarcity of spectrum resources,Dual-Function Radar-Communication(DFRC)technology provides robust technical support for integrated sensing and communication by sharing hardware platforms and transmitting shared waveforms.This paper proposes a power-constrained transmit waveform optimization method for beam design in Multiple-Input Multiple-Output(MI-MO)radar-communication integration systems,aiming to achieve synergistic optimization of communication transmission and radar de-tection performance.A MIMO radar beam pattern design model is constructed,employing the Complex Component Separation Optimiza-tion(CCSO)method to minimize the discrepancy between actual and desired beam patterns.On this basis,a communication interference suppression model is established,integrating Singular Value Decomposition(SVD)and Orthogonal Procrustes Problem(OOP)methods to minimize interference among multiple communication users.A weighted objective function combining communication interference sup-pression and waveform similarity is introduced.A Riemannian Conjugate Gradient Descent Method(RCG)optimization algorithm on the complex hypersphere manifold is implemented,coupled with an Armijo backtracking line search strategy for iterative optimization.Simu-lation results demonstrate that the proposed optimization strategy effectively suppresses communication interference while effectively pre-serving radar beam performance,achieving a balanced trade-off optimization between communication and radar functionalities.关键词
多输入多输出雷达通信一体化/波形优化/功率约束/雷达-通信性能折中设计Key words
MIMO radar-communication integration/waveform optimization/power constraint/performance trade-off design between radar and communication分类
信息技术与安全科学引用本文复制引用
苏佳,程笑雨,刘春静,谷少行..基于功率约束的MIMO雷达通信一体化波形设计[J].无线电通信技术,2026,52(1):36-43,8.基金项目
国家重点实验室基金项目(IFN20230113)National Key Laboratory Fund Project(IFN20230113) （IFN20230113）
