Research on MIMO-OFDM Deep Receiver in Mine Environment-Reference-Cited by-同舟云学术

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Research on MIMO-OFDM Deep Receiver in Mine Environment

Published:2021-12-03 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Digital Society and Intelligent Systems (DSInS)
language:
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Author:

Li Xuhong,Feng Zhiyuan,Wang Anyi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670450/9670553/09670585.pdf?arnumber=9670585

Reference5 articles.

1. Choo Hyunseung, Nguyen Van Duc. Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems.[J];an;Sensors (Basel Switzerland),2021

2. Blind joint MIMO channel and data estimation based on regularized ML[J];nacerredine;Digital Signal Processing,2021

3. Channel Estimation for MIMO Space Time Coded OTFS under Doubly Selective Channels

4. DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer[J];zheng;IEEE Transactions on Cognitive Communications and Networking,2020

5. Development and prospect of wisdom mine[J];pengfei;Industry and Mine Automation,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing channel estimation accuracy in polar-coded MIMO–OFDM systems via CNN with 5G channel models;AEU - International Journal of Electronics and Communications;2024-01

2. Deep Learning-based Channel Estimation in 5G MIMO-OFDM Systems;2022 8th International Conference on Signal Processing and Communication (ICSC);2022-12-01

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