Robust Adaptive Beamforming via Worst-Case SINR Maximization With Nonconvex Uncertainty Sets-Reference-Cited by-同舟云学术

Robust Adaptive Beamforming via Worst-Case SINR Maximization With Nonconvex Uncertainty Sets

Published:2023 Issue: Volume:71 Page:218-232
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Huang Yongwei¹^ORCID,Fu Hao²,Vorobyov Sergiy A.³^ORCID,Luo Zhi-Quan⁴^ORCID

Affiliation:

1. School of Information Engineering, Guangdong University of Technology University Town, Guangzhou, Guangdong, China

2. Huawei Technologies Co. Ltd, Nanjing, Jiangsu, China

3. Department of Information and Communications Engineering (formerly Department of Signal Processing and Acoustics), Aalto University, Espoo, Finland

4. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

Funder

Key Research and Development Program of Shaanxi Program

Academy of Finland Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10027476.pdf?arnumber=10027476

Reference27 articles.

1. Robust Beamforming via Worst-Case SINR Maximization

2. Robust minimum variance beamforming

3. Worst-Case SINR Maximization Based Robust Adaptive Beamforming Problem with a Nonconvex Uncertainty Set

4. Primal-Dual Interior-Point Methods

5. Adaptive Beamforming With Joint Robustness Against Mismatched Signal Steering Vector and Interference Nonstationarity

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