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.
引用
收藏
页数：12
相关论文
共 50 条
  • [41] Compensation estimation method for fast fading MIMO-OFDM channels based on compressed sensing
    Zhou, Xiaoping
    Zhao, Zhongxiao
    Li, Li
    Li, Si
    Journal of Communications, 2015, 10 (07): : 466 - 473
  • [42] An Effective Channel Estimation for Massive MIMO-OFDM System
    Mata, Tanairat
    Boonsrimuang, Pisit
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 114 (01) : 209 - 226
  • [43] Self-Adaptive Measurement Matrix Design and Channel Estimation in Time-Varying Hybrid MmWave Massive MIMO-OFDM Systems
    Lin, Chenlan
    Gao, Jiabao
    Jin, Richeng
    Zhong, Caijun
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 72 (01) : 618 - 629
  • [44] Channel estimation method based on channel order estimation for MIMO-OFDM systems
    Yuan Qingsheng
    He Chen
    Jiang Lingge
    CHINESE JOURNAL OF ELECTRONICS, 2007, 16 (01): : 175 - 178
  • [45] Sparsity Adaptive Compressive Sensing Based Two-stage Channel Estimation Algorithm for Massive MIMO-OFDM Systems
    Ge, Lijun
    Wang, Zhichao
    Qian, Lei
    Wei, Peng
    RADIOENGINEERING, 2023, 32 (02) : 197 - 206
  • [46] Sparse mmWave OFDM Channel Estimation Using Compressed Sensing
    Gomez-Cuba, Felipe
    Goldsmith, Andrea J.
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [47] Manifold Optimization-Based Channel Estimation for RIS-Assisted MmWave MIMO-OFDM Systems
    Huang, Zheng
    Liu, Chen
    Song, Yunchao
    Yin, Zhisheng
    Fu, Youhua
    Cheng, Nan
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 5104 - 5109
  • [48] Common Sparsity based Channel Estimation for FDD Massive MIMO-OFDM Systems via Multitask Bayesian Compressive Sensing
    Ji, Wei
    Qiu, Ling
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [49] MIMO-OFDM Non-regenerative Relay Channel Estimation using Compressed Sensing
    Akbarpour-Kasgari, Abbas
    Ardebilipour, Mehrdad
    Afghah, Fatemeh
    2015 49TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2015,
  • [50] Beamforming-based Spatial Precoding with Channel Estimation for Massive MIMO-OFDM system
    Chiu, Chen-Hao
    Lee, Ju-Hong
    2024 IEEE RADIO AND WIRELESS SYMPOSIUM, RWS, 2024, : 19 - 22
12345