Pattern search and compressed sensing based phase noise and channel estimation for mmWave massive MIMO-OFDM systems

被引：0
作者：
Qiao, Yingjian [1 ]
Hu, Anzhong [1 ]
Chen, Xiaoming [2 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
来源：
SIGNAL PROCESSING | 2023年 / 205卷
关键词：
Multiple -input multiple -output; Orthogonal frequency division multiplexing; Phase noise; Pattern search; Compressed sensing; Channel estimation; CAPACITY; MITIGATION;
D O I：
10.1016/j.sigpro.2022.108870
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Phase noise (PN) can seriously affect the performance of millimeter-wave (mmWave) massive multiple -input multiple-output (MIMO) systems, especially when orthogonal frequency division multiplexing (OFDM) is employed. This paper studies the PN effect on mmWave massive MIMO-OFDM systems, and proposes a time variant training mode to save training time. In addition, an iterative channel and PN es-timation method is proposed, which can estimate the PN with pattern search and estimate the channel with compressed sensing, and can converge according to the residual of the received signal. Moreover, the error vector magnitude and the computational complexity are analyzed. Finally, our simulation re-sults demonstrate that by employing the proposed method, the performance of the mmWave massive MIMO-OFDM system can be improved. (c) 2022 Elsevier B.V. All rights reserved.
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页数：12
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