摘要
为获得更准确的信道状态信息(CSI),针对双向MIMO中继系统,提出一种高准确度的信道估计方法。该方法在发送端与AF中继处分别对所发送的信号进行编码,同时符号矩阵构造为多个Khatri-Rao乘积形式,为系统提供了额外的多样性;在接收端,每个用户对所接收的信号构造Tucker-2模型,并采用非迭代T-KPLS拟合算法对Tucker-2模型进行拟合,进而联合估计出该通信系统中所有CSI。与已有的信道估计方法相比,所提方法无须发送训练序列,具有更高的频谱利用率及信道估计精度。仿真结果验证了所提方法的有效性。
In order to obtain more accurate channel statement information(CSI),this paper proposes a high accuracy channel estimation method for two-way multiple input multiple output(MIMO)relay systems.The proposed method encoded the transmitted signals at both users and the relay respectively.At the same time,the symbol matrix was constructed in multiple Khatri-Rao product forms,providing additional diversity to the system.At the receiving end,each user constructed a Tucker-2 model for the received signal,and used a non-iterative T-KPLS algorithm to fit the Tucker-2 model to jointly estimate all CSIs in the communication system.Compared with the existing channel estimation methods,the proposed method does not need to transmit a pilot sequence,and has higher spectral efficiency and channel estimation accuracy.Simulation results verify the effectiveness of the proposed method.
作者
周迎春
韩曦
师嘉晨
白文乐
Zhou Yingchun;Han Xi;Shi Jiachen;Bai Wenle(School of Information Science and Technology,North China University of Technology,Beijing 100144,China)
出处
《计算机应用与软件》
北大核心
2022年第10期115-118,190,共5页
Computer Applications and Software
基金
北京市自然科学基金-海淀原始创新联合基金项目(L182039)
北京市教育委员会科技计划项目(KM201910009011)
北京市骨干人才项目(2017000020124GD69)
北方工业大学科研启动基金项目
北方工业大学2019基金科研业务费创新团队项目(110052971921/004,110052971921/003)。