DOA Estimation Based on Time-Frequency MUSIC Application to Massive MIMO Systems

被引：0
|
作者：
Hachad, Lamiae [1 ]
Cherrak, Omar [1 ,2 ,3 ]
Ghennioui, Hicham [1 ]
Mrabti, Fatiha [1 ]
Zouak, Mohcine [1 ]
机构：
[1] Sidi Mohamed Ben Abdellah Univ, Fac Sci & Technol Fez, Signals Syst & Components Lab, Fes, Morocco
[2] Aix Marseille Univ, CNRS, ENSAM, LSIS,UMR 7296, F-13397 Marseille, France
[3] Univ Toulon & Var, CNRS, LSIS, UMR 7296, F-83957 La Garde, France
来源：
2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP) | 2017年
关键词：
MIMO; Massive MIMO; DOA estimation; Time-Frequency Distributions; Joint Diagonalization; MUSIC; CELLULAR NETWORKS; SOURCE SEPARATION; DIAGONALIZATION; MATRICES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, the problem of direction finding is addressed. We show the Direction Of Arrival (DOA) estimation can be realized through the non-unitary joint diagonalization of spatial quadratic time-frequency. We use an approach of selection of time-frequency points to construct the set of matrices which will be jointly diagonalized to estimate the noise subspace. The main advantage of this method is that it does not require any whitening stage, and thus, it is intended to work even with a class of correlated signals. Finally, the noise subspace obtained is then used to estimate the directions using the MUltiple Signal Classification MUSIC spectrum. Numerical simulations are provided in order to illustrate the effectiveness and the behavior of the proposed approach.
引用
收藏
页码：104 / 108
页数：5
相关论文
共 50 条
  • [31] DOA estimation of nonstationary sources with time-frequency maximum likelihood method
    Tian, D
    Huang, KJ
    Chen, TQ
    2004 INTERNATIONAL CONFERENCE ON COMMUNICATION, CIRCUITS, AND SYSTEMS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, CIRCUITS AND SYSTEMS, 2004, : 835 - 839
  • [32] Applying a high efficient time-frequency analysis method in DOA estimation
    Hang, Hu
    2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4, 2006, : 271 - 274
  • [33] Low-complexity neural network based DOA estimation for wideband signals in massive MIMO systems
    Liu, Yang
    Chai, Jin
    Zhang, Yinghui
    Liu, Zihan
    Jin, Minglu
    Qiu, Tianshuang
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2021, 138
  • [34] Codebook-Aided DOA Estimation Algorithms for Massive MIMO System
    Li, Shufeng
    Wu, Hongda
    Jin, Libiao
    ELECTRONICS, 2019, 8 (01)
  • [35] Robust spatial time-frequency distributions for DOA estimation using spatial averaging and directional smoothing
    Khan, Nabeel Ali
    Ali, Sadiq
    SIGNAL PROCESSING, 2021, 180
  • [36] A Higher-Order Propagator Method for 2D-DOA Estimation in Massive MIMO Systems
    Ahmed, Tanveer
    Zhang, Xiaofei
    Ul Hassan, Wajih
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (03) : 543 - 547
  • [37] Low-Complexity Deep-Learning-Based DOA Estimation for Hybrid Massive MIMO Systems With Uniform Circular Arrays
    Hu, Die
    Zhang, Yonghao
    He, Lianghua
    Wu, Jun
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (01) : 83 - 86
  • [38] DOA and Polarization Estimation for Non-Circular Signals in 3-D Millimeter Wave Polarized Massive MIMO Systems
    Wan, Liangtian
    Liu, Kaihui
    Liang, Ying-Chang
    Zhu, Tong
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (05) : 3152 - 3167
  • [39] Fast Reconstruction and Iterative Updating of Spatial Covariance Matrix for DOA Estimation in Hybrid Massive MIMO
    Fu, Zihao
    Liu, Yinsheng
    Yan, Yiwei
    IEEE ACCESS, 2020, 8 (08): : 213206 - 213214
  • [40] Robust DOA estimation and tracking for integrated sensing and communication massive MIMO OFDM systems
    Xu, Kui
    Xia, Xiaochen
    Li, Chunguo
    Xie, Wei
    Liu, Jie
    Zhu, Rangang
    He, Huasen
    SCIENCE CHINA-INFORMATION SCIENCES, 2023, 66 (10)
12345