scholarly journals Tensor 2-D DOA Estimation for a Cylindrical Conformal Antenna Array in a Massive MIMO System Under Unknown Mutual Coupling

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 7864-7871 ◽  
Author(s):  
Xiaoyu Lan ◽  
Lening Wang ◽  
Yupeng Wang ◽  
Chang Choi ◽  
Dongmin Choi
Keyword(s):  
Antenna Array ◽  
Massive Mimo ◽  
Mutual Coupling ◽  
Mimo System ◽  
Doa Estimation ◽  
Conformal Antenna

Massive MIMO System Level Performance Results of a Dense Antenna Array

2021 ◽  
Author(s):  
Zhengxiang Ma ◽  
Leonard Piazzi ◽  
Huairen Yi ◽  
Hady Moussa ◽  
Renjian Zhao
Keyword(s):  
Antenna Array ◽  
Massive Mimo ◽  
Mimo System ◽  
System Level ◽  
Performance Results ◽  
Level Performance

scholarly journals Codebook-Aided DOA Estimation Algorithms for Massive MIMO System

Electronics ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 26 ◽  
Author(s):  
Shufeng Li ◽  
Hongda Wu ◽  
Libiao Jin
Keyword(s):  
Massive Mimo ◽  
Large Scale ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Frame Structure ◽  
Green Communication ◽  
Estimation Algorithms

The conventional direction of arrival (DOA) estimation algorithm is not effective with the tremendous complexity due to the large-scale array antennas in a massive multiple-input multiple-output (MIMO) system. A new frame structure for downlink transmission is presented. Then, codebook-aided (C-aided) algorithms are proposed based on this frame structure that can fully exploit the priori information under channel codebook feedback mechanism. An oriented angle range is scoped through the codebook feedback, which is drastically beneficial to reduce computational burden for DOA estimation in massive MIMO systemss. Compared with traditional DOA estimation algorithms, our proposed C-aided algorithms are computationally efficient and meet the demand of future green communication. Simulations show the estimation effectiveness of C-aided algorithms and advantage for decrement of computational cost.

scholarly journals Analysis of the massive MIMO technology

2021 ◽  
Vol 2061 (1) ◽  
pp. 012094
Author(s):  
N S Druzhinina ◽  
I M Daudov
Keyword(s):  
Antenna Array ◽  
Massive Mimo ◽  
Significant Contribution ◽  
Mimo System ◽  
Mimo Technology

Abstract The article discusses the features of the Massive MIMO technology, the structure of the antenna array, as well as the advantages and example of using the massive MIMO system. The use of Massive MIMO opens up new opportunities and makes a significant contribution to achieving the stated requirements for the further evolution of LTE and 5G.

scholarly journals Source Localization of EM Waves in the Near-Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Oluwole John Famoriji ◽  
Thokozani Shongwe
Keyword(s):  
Antenna Array ◽  
Source Localization ◽  
Antenna Arrays ◽  
Mutual Coupling ◽  
Near Field ◽  
Ground Truth ◽  
Doa Estimation ◽  
Measured Data ◽  
Practical Applications ◽  
Spherical Antenna

To obtain an antenna array with isotropic radiation, spherical antenna array (SAA) is the right array configuration. The challenges of locating signals transmitted within the proximity of antenna array have been investigated considerably in the literature. However, near-field (NF) source localization of signals has hitherto not been investigated effectively using SAA in the presence of mutual coupling (MC). MC is another critical problem in antenna arrays. This paper presents an NF range and direction-of-arrival (DoA) estimation technique via the direction-independent and signal invariant spherical harmonics (SH) characteristics in the presence of mutual coupling. The energy of electromagnetic (EM) signal on the surface of SAA is captured successfully using a proposed pressure interpolation approach. The DoA estimation within the NF region is then calculated via the distribution of pressure. The direction-independent and signal invariant characteristics, which are SH features, are obtained using the DoA estimates in the NF region. We equally proposed a learning scheme that uses the source activity detection and convolutional neural network (CNN) to estimate the range of the NF source via the direction-independent and signal invariant features. Considering the MC problem and using the DoA estimates, an accurate spectrum peak in the multipath situation in conjunction with MC and a sharper spectrum peak from a unique MC structure and smoothing algorithms are obtained. For ground truth performance evaluation of the SH features within the context of NF localization, a numerical experiment is conducted and measured data were used for analysis to incorporate the MC and consequently computed the root mean square error (RMSE) of the source range and NF DoA estimate. The results obtained from numerical experiments and measured data indicate the validity and effectiveness of the proposed approach. In addition, these results are motivating enough for the deployment of the proposed method in practical applications.

Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System

2018 ◽  
Vol 67 (9) ◽  
pp. 8549-8560 ◽  
Author(s):  
Hongji Huang ◽  
Jie Yang ◽  
Hao Huang ◽  
Yiwei Song ◽  
Guan Gui
Keyword(s):  
Deep Learning ◽  
Channel Estimation ◽  
Massive Mimo ◽  
Mimo System ◽  
Super Resolution ◽  
Doa Estimation

Multi-BS Spatial Spectrum Fusion for 2-D DOA Estimation and Localization Using UCA in Massive MIMO System

2021 ◽  
Vol 70 ◽  
pp. 1-13
Author(s):  
Di He ◽  
Xin Chen ◽  
Ling Pei ◽  
Fusheng Zhu ◽  
Lingge Jiang ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo System ◽  
Doa Estimation ◽  
Spatial Spectrum
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