Channel estimation for multi-panel millimeter wave MIMO based on joint compressed sensing  

作　　者：Liu Xu Xie Yang 

机构地区：[1]College of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China [2]Jiangsu Key Laboratory of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2020年第6期1-7,29,共8页中国邮电高校学报（英文版）

基　　金：This work was supported by Nanjing University of Posts and Telecommunications Scientific Foundation(NY217028,NY215100);China Post-doctoral Science Foundation(2018M640509);the National Science Foundation Program of Jiangsu Province(BK20191378);the National Science Research Project of Jiangsu Higher Education Institutions(18KJB510034).

摘　　要：Channel state information(CSI)is essential for downlink transmission in millimeter wave(mmWave)multiple input multiple output(MIMO)systems.Multi-panel antenna array is exploited in mmWave MIMO system due to its superior performance.Two channel estimation algorithms are proposed in this paper,named as generalized joint orthogonal matching pursuit(G-JOMP)and optimized joint orthogonal matching pursuit(O-JOMP)for multi-panel mmWave MIMO system based on the compressed sensing(CS)theory.G-JOMP exploits common sparsity structure among channel response between antenna panels of base station(BS)and users to reduce the computational complexity in channel estimation.O-JOMP algorithm is then developed to further improve the accuracy of channel estimation by optimal panel selection based on the power of the received signal.Simulation results show that the performance of the proposed algorithms is better than that of the conventional orthogonal matching pursuit(OMP)based algorithm in multi-panel mmWave MIMO system.

关 键 词：channel estimation multi-panel MIMO MILLIMETER wave JOINT orthogonal matching PURSUIT common sparsity 

分 类 号：TN929.5[电子电信—通信与信息系统]