通信学报2024，Vol.45Issue(3)：41-49,9.DOI:10.11959/j.issn.1000-436x.2024067
基于AAT模型的毫米波大规模MIMO系统信道估计
AAT model based channel estimation for mmWave massive MIMO systems
摘要
Abstract
To solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels,which result in decreased channel estimation accuracy,a novel channel estimation method based on an im-proved temporal convolutional network was proposed.The channel matrices obtained from simulation were feed into the system as two-dimensional image data.The temporal correlation was utilized for feature fusion and an attention in atten-tion network was constructed to enhance the system's ability to extract deep channel features.Then,AAN was integrated into the temporal convolutional network for training.Finally,the system outputted a denoised two-dimensional image,namely,the channel estimation matrix.Simulation results demonstrate that the proposed method not only exhibits good performance and complexity compared to conventional channel estimation methods but also maintains robustness when the test scenario changes.关键词
大规模多输入多输出信道/时序卷积神经网络/信道估计/集中注意力机制网络Key words
massive MIMO channel/temporal convolutional neural network/channel estimation/attention in attention network分类
信息技术与安全科学引用本文复制引用
于舒娟,刘荣,张昀,谢娜,黄丽亚..基于AAT模型的毫米波大规模MIMO系统信道估计[J].通信学报,2024,45(3):41-49,9.基金项目
国家自然科学基金资助项目(No.61977039) The National Natural Science Foundation of China(No.61977039) （No.61977039）
