电波科学学报2025，Vol.40Issue(1)：164-171,8.DOI:10.12265/j.cjors.2024019
基于WGAN的智能超表面辅助系统的信道估计研究
Channel estimation study of reconfigurable intelligent surface aided system based on WGAN
摘要
Abstract
Aiming at the problem that the system is complex and it is difficult to obtain accurate channel state information(CSI)in millimeter wave communication assisted by reconfigurable intelligent surface(RIS),this paper designs a channel estimation scheme of Chan-SRWGAN network algorithm.The scheme adopts a hybrid active/passive RIS architecture.Firstly,the least square(LS)algorithm is used to obtain the channel estimation value at the active elements,and then the preliminary channel estimation is obtained by interpolation.Finally,the Chan-SRWGAN deep learning network is used to reconstruct it into accurate channel estimation.Simulation results show that the proposed scheme outperforms LS,orthogonal matching pursuit(OMP),simultaneous orthogonal matching pursuit(SOMP),deep neural network(DNN),super-resolution convolutional neural network(SRCNN)channel estimation algorithms in terms of normalized mean squared error(NMSE)performance,thus confirming the feasibility of the approach.关键词
智能超表面(RIS)/信道估计/深度学习/Wasserstein生成对抗网络(WGAN)/超分辨率卷积神经网络(SRCNN)Key words
reconfigurable intelligent surface(RIS)/channel estimation/deep learning/Wasserstein generative adversarial network(WGAN)/super-resolution convolutional neural network(SRCNN)分类
信息技术与安全科学引用本文复制引用
康晓非,王甜..基于WGAN的智能超表面辅助系统的信道估计研究[J].电波科学学报,2025,40(1):164-171,8.基金项目
国家自然科学基金(61801372) （61801372）
