TRAINING SIGNAL DESIGN FOR CHANNEL ESTIMATION IN MASSIVE MIMO SYSTEMS

被引：0
|
作者：
Noh, Song [1 ]
Zoltowski, Michael D. [1 ]
Sung, Youngchul
Love, David J. [1 ]
机构：
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年
关键词：
Channel estimation; Kalman filtering; Gauss-Markov model; massive MIMO; WIRELESS; DOWNLINK;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, the design of training signals for channel estimation in massive multiple-input multiple-output (MIMO) systems is considered. Under a stationary, block Gauss-Markov channel model, a method for optimal pilot beam pattern design for enhanced channel estimation is proposed, exploiting both the properties of Kalman filtering and the spatio-temporal channel correlation. First, pilot beam pattern design is considered under the assumption of orthogonal beam patterns within a block. The orthogonality assumption is subsequently relaxed and the design problem is solved via a greedy approach. Numerical results show the efficacy of the proposed algorithm.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Channel Estimation and Training Design for Hybrid Multi-carrier MmWave Massive MIMO Systems: The Beamspace ESPRIT Approach
    Zhang, Jianshu
    Haardt, Martin
    2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, : 385 - 389
  • [22] Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems
    Mirzaei, Javad
    ShahbazPanahi, Shahram
    Sohrabi, Foad
    Adve, Raviraj
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 5784 - 5800
  • [23] On the Use of Channel Models and Channel Estimation Techniques for Massive MIMO Systems
    Kuerbis, Martin
    Balasubramanya, Naveen Mysore
    Lampe, Lutz
    Lampe, Alexander
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 823 - 827
  • [24] Training design for multipath channel and frequency-offset estimation in MIMO systems
    Ghogho, Mounir
    Swami, Ananthram
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (10) : 3957 - 3965
  • [25] Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems
    Hu, Su
    Liu, Zilong
    Guan, Yong Liang
    Jin, Chuanxue
    Huang, Yixuan
    Wu, Jen-Ming
    IEEE ACCESS, 2017, 5 : 4747 - 4758
  • [26] Channel and Noise Covariance Matrix Estimation for MIMO Systems with Optimal Training Design
    Ammari, Mohamed Lassaad
    Fortier, Paul
    El Khaled, Mohamad
    2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2014,
  • [27] Joint Channel Training and Feedback for FDD Massive MIMO Systems
    Shen, Wenqian
    Dai, Linglong
    Shi, Yi
    Shim, Byonghyo
    Wang, Zhaocheng
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (10) : 8762 - +
  • [28] Uplink Training for Massive MIMO Systems Under Channel Aging
    Chopra, Ribhu
    2018 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM 2018), 2018, : 352 - 356
  • [29] PILOT DESIGN FOR GAUSSIAN MIXTURE CHANNEL ESTIMATION IN MASSIVE MIMO
    Gu, Yujie
    Zhang, Yimin D.
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 3266 - 3270
  • [30] Training Signal Design for Discriminatory Channel Estimation
    Chang, Tsung-Hui
    Hong, Y. -W. Peter
    Chi, Chong-Yung
    GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-8, 2009, : 1986 - 1991
12345