摘要
该文通过联合优化雷达发射波形,接收滤波器以及部署在场景中的智能反射面(RIS),来增强雷达系统在杂波环境下的目标检测性能。在雷达波形和RIS相移矢量离散相位约束的前提下,该文采用系统输出信干噪比(SINR)为优化目标来建立RIS辅助下的雷达目标检测性能增强问题。为求解所形成的联合非凸优化问题,该文提出了一种交替优化求解策略,在每一轮迭代中基于优化子最大化的思想次序的两个关于波形和RIS相移矢量的优化子问题。仿真实验证明所提优化算法能够在满足恒模多相约束的情况下,提供高质量的RIS相移矢量-雷达收发波形,使得RIS辅助下的雷达系统目标检测性能得到明显的增强。
This study addresses the joint design problem of radar transmit waveform,receive filter and Reconfigurable Intelligent Surface(RIS)reflecting coefficients with an aim to enhance the target detection performance of a RIS-aided radar system.With restrictions on the finite phases of the radar waveform and RIS reflecting coefficients,the performance enhancement problem is formulated as a nonconvex joint design,in which the system Signal-to-Interference-plus-Noise-Ratio(SINR)is taken as the optimization objective.A novel cyclic optimization algorithm is developed to tackle this.In each cycle,two subproblems with respect to waveform and RIS reflecting coefficients are involved and are resolved by leveraging the Minorization Maximization(MM)strategy.The simulation results highlight the effectiveness of the proposed algorithm for providing high-quality RIS reflecting coefficients,radar transmit waveform,and receive filter.
作者
谢壮
朱家华
徐舟
范崇祎
金添
黄晓涛
XIE Zhuang;ZHU Jiahua;XU Zhou;FAN Chongyi;JIN Tian;HUANG Xiaotao(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410000,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410000,China;College of Electronic Countermeasure,National University of Defense Technology,Hefei 230000,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第11期3848-3859,共12页
Journal of Electronics & Information Technology
基金
国家自然科学基金(62101573)
国防科技大学科研计划项目(ZK20-35)。
关键词
智能反射面辅助雷达
波形设计
目标检测
交替优化
恒模多相约束
Reconfigurable Intelligent Surface(RIS)aided radar
Waveform design
Target detection
Cyclic optimization
Polyphase constraint
