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

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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.

channel estimationmulti-panel MIMOmillimeter wavejoint orthogonal matching pursuitcommon sparsity

Liu Xu、Xie Yang

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College of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

Jiangsu Key Laboratory of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

This work was supported by Nanjing University of Posts and Telecommunications Scientific FoundationThis work was supported by Nanjing University of Posts and Telecommunications Scientific FoundationChina Post-doctoral Science FoundationNational Science Foundation Program of Jiangsu ProvinceNational Science Research Project of Jiangsu Higher Education Institutions

NY217028NY2151002018M640509BK2019137818KJB510034

2020

10.19682/j.cnki.1005-8885.2020.0041

中国邮电高校学报(英文版)
北京邮电大学

中国邮电高校学报(英文版)

CSCDEI
影响因子：0.419
ISSN：1005-8885
年,卷(期)：2020.27(6)
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