Two Low-Complexity DOA Estimators for Massive/Ultra-Massive MIMO Receive Array

Author:

Chen Yiwen1,Zhan Xichao1,Shu Feng1ORCID,Jie Qijuan1,Cheng Xin2ORCID,Zhuang Zhihong2,Wang Jiangzhou3ORCID

Affiliation:

1. School of Information and Communication Engineering, Hainan University, Haikou, China

2. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

3. School of Engineering, University of Kent, Canterbury, U.K.

Funder

National Natural Science Foundation of China

Hainan Province Science and Technology Special Fund

Scientific Research Fund Project of Hainan University

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

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2. Modified Root-MUSIC Algorithm for Target Localization Using Nyström Approximation;IEEE Sensors Journal;2024-04-15

3. 6G: Technology Evolution in Future Wireless Networks;IEEE Access;2024

4. A DOA Estimation Method Based on Low-Complexity Hybrid Analog and Digital Architecture Design;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

5. Deep-Learning-Aided Low-Complexity DOA Estimators for Ultra-Massive MIMO Overlapped Receive Array;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

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