基于二维嵌套阵的3D MIMO系统信道估计算法  

2D Nested Arrays Based Channel Estimation Algorithm for 3D MIMO Systems

作　　者：万应清 解培中[1] 李汀[1] 曾强 Wan Yingqing;Xie Peizhong;Li Ting;Zeng Qiang(College of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing,Jiangsu 210003,China)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003

出　　处：《信号处理》2020年第2期265-274,共10页Journal of Signal Processing

基　　金：国家自然科学面上基金(61771254)。

摘　　要：信道估计是通过对基站接收信号和用户端发送的已知导频序列进行处理获得。二维嵌套阵列可以节约系统的成本并且得到大规模MIMO(multiple-input multiple-output)天线阵列的性能,然而由于二维嵌套阵列的结构不规整,直接对基站接收信号进行处理具有一定的难度。本文提出一种基于2D-DFT(two-dimensional Discrete Fourier Transform)的信道重构算法,首先对接收信号做自相关处理转化为连续差分阵列的接收信号,其次通过2D-DFT估计出用户的初始DOA(the direction of arrival),然后利用角度旋转技术增强DOA估计实现超分辨率估计,再根据精确的DOA估计通过传统的LS(least squares)估计方法估计出信道增益;最后重构出用户的信道。数值仿真验证了算法的有效性。Channel estimation is obtained by processing the received signal of the base station(BS) and the known pilot sequence sent by the user.Two-dimensional(2D) nested arrays save system cost and enable performance of massive MIMO(multiple-input multiple-output).However,the structure of 2D nested arrays is not a regular planar arrays,so it’s difficult to directly process received signal from BS.In this paper,a 2D-DFT-based channel reconstruction algorithm was proposed.Firstly,the received signal was autocorrelation processed and converted into received signal of the continuous differential co-array.Secondly 2D-DFT was used to estimate the initial direction of arrival(DOA),and the angle rotation technique was used to enhance the DOA estimation to achieve super-resolution estimation.Then channel gain was estimated by conventional LS estimation method based on accurate DOA estimation.Finally,user’ s channel was reconstructed.Various numerical results are provided to corroborate the proposed studies.

关 键 词：二维嵌套阵列 差分阵列 3D MIMO 信道估计 阵列信号处理 

分 类 号：TN929.5[电子电信—通信与信息系统]