Modulation recognition in maritime multipath channels: A blind equalization-aided deep learning approach-Reference-Cited by-同舟云学术

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Modulation recognition in maritime multipath channels: A blind equalization-aided deep learning approach

Published:2020-03 Issue:3 Volume:17 Page:12-25
ISSN:1673-5447
Container-title:China Communications
language:
Short-container-title:China Commun.

Author:

Ji Xuefei,Wang Jue,Li Ye,Sun Qiang,Xu Chen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/6245522/9058596/09058602.pdf?arnumber=9058602

Cited by 15 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. DL-NA-SBD: An Unsupervised Online Deep Learning Approach for Blind Channel Equalization;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

2. Classification of Radio Signals in Multipath Fading Channel Using Neural Network;2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon);2024-01-29

3. Modulation recognition method of mixed signals based on cyclic spectrum projection;Scientific Reports;2023-12-05

4. SupportNet: a Deep Learning Based Channel Equalization Network for Multi-type Multipath Fading;Mobile Networks and Applications;2023-11-22

5. Introduction;Reinforcement Learning for Maritime Communications;2023

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