DL-NA-SBD: An Unsupervised Online Deep Learning Approach for Blind Channel Equalization
Author:
Affiliation:
1. University of Electronic Science and Technology of China,National Key Laboratory of Science and Technology on Communications,Chengdu,611731
2. 5G Innovation Center, University of Surrey,Surrey,U.K.,GU2 7XH
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10570463/10570502/10570650.pdf?arnumber=10570650
Reference16 articles.
1. A Review on Training and Blind Equalization Algorithms for Wireless Communications
2. Modulation recognition in maritime multipath channels: A blind equalization-aided deep learning approach
3. Joint Blind Channel Estimation, Channel Equalization, and Data Detection for Underwater Visible Light Communication Systems
4. Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access
5. Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems
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