Deep Learning-Assisted OFDM Channel Estimation and Signal Detection Technology-Reference-Cited by-同舟云学术

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Deep Learning-Assisted OFDM Channel Estimation and Signal Detection Technology

Published:2023-05 Issue:5 Volume:27 Page:1347-1351
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Li Jun¹^ORCID,Zhang Zhichen¹^ORCID,Wang Yukai¹,He Bo²^ORCID,Zheng Wenjing¹^ORCID,Li Mingming³

Affiliation:

1. School of Information and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. School of Information Science and Engineering, Shandong University, Qingdao, China

3. National Radio Spectrum Management Center, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10122472/10045680.pdf?arnumber=10045680

Reference11 articles.

1. Model-Driven Deep Learning Scheme for Adaptive Transmission in MIMO-SCFDE System

2. A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems

3. Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines

4. Joint Channel Estimation and Symbol Detection in MIMO-OFDM Systems: A Deep Learning Approach using Bi-LSTM

5. ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers

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5. Hybrid AE and Bi-LSTM-Aided Sparse Multipath Channel Estimation in OFDM Systems;IEEE Access;2024

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