Efficient Digital Signal Recovery for Satellite Communications With Active Phased Arrays
Author:
Affiliation:
1. National Space Science Center, Chinese Academy of Sciences, Beijing, China
2. Department of the Electronic Systems, Aalborg University, Aalborg, Denmark
Funder
China Scholarship Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9944983/10122179/10008097.pdf?arnumber=10008097
Reference20 articles.
1. Beams selection for mmWave multi-connection based on sub-6 GHz predicting and parallel transfer learning;chen;Proc IEEE/CIC Int Conf Commun China (ICCC),2021
2. Convolutional Autoencoder-Based Transfer Learning for Multi-Task Image Inferences
3. Deep Digital Signal Recovery for LEO Satellite Communication in Presence of System Perturbations
4. Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems
5. Joint Satellite-Transmitter and Ground-Receiver Digital Pre-Distortion for Active Phased Arrays in LEO Satellite Communications
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1. Diffusion Model-Based Signal Recovery in Coexisting Satellite and Terrestrial Networks;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
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