In-Excess Attenuation Detection Using Satellite Link Channel Measurements at Ka- and Q-Bands With Deep-Learning Architectures
Author:
Affiliation:
1. School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Greece
2. School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece
Funder
European Space Agency (ESA) Satnex V.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8/10207863/10147883.pdf?arnumber=10147883
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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. Excess Attenuation Prediction At Q-Band Using Deep Learning for High-Throughput Satellite Systems;IEEE Antennas and Wireless Propagation Letters;2024-09
2. Satellite Channel Excess Attenuation Prediction at Ka Band Using Deep Learning Models and Rainfall Rate Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
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