A Tensor-Based High Resolution Millimeter Wave Massive MIMO Channel Parameters Estimation Scheme-Reference-Cited by-同舟云学术

A Tensor-Based High Resolution Millimeter Wave Massive MIMO Channel Parameters Estimation Scheme

Published:2023-05-28 Issue: Volume: Page:
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Container-title:ICC 2023 - IEEE International Conference on Communications
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Author:

Hong Junkang¹,Wang Jianhao¹,Liu Congjie¹,Sun Jian¹,Zhang Wensheng¹,Wang Cheng-Xiang²

Affiliation:

1. School of Information Science and Engineering, Shandong University,Shandong Provincial Key Lab of Wireless Communication Technologies,Qingdao,Shandong,China,266237

2. School of Information Science and Engineering, Southeast University,National Mobile Communications Research Laboratory,Nanjing,Jiangsu,China,210096

Funder

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Shandong Province

Key Technologies R&D Program of Jiangsu (Prospective and Key Technologies for Industry)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279476.pdf?arnumber=10279476

Reference17 articles.

1. An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

2. Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems

3. Blind Signal Separation via Tensor Decomposition With Vandermonde Factor: Canonical Polyadic Decomposition

4. Tensor decompositions and applications;kolda;SIAM Rev,2009

5. Block Sparse Recovery for Wideband Channel Estimation in Hybrid mmWave MIMO Systems

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