Radiometric Estimation of Tropospheric Attenuation: A Mixed Physically Based/Machine Learning Approach-Reference-Cited by-同舟云学术

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Radiometric Estimation of Tropospheric Attenuation: A Mixed Physically Based/Machine Learning Approach

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tunçkol Tuna¹^ORCID,Biscarini Marianna²^ORCID,Luini Lorenzo³^ORCID

Affiliation:

1. Fergani Space Technologies, Istanbul, Turkey

2. Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Rome, Italy

3. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

Funder

European Space Agency

European Office of Aerospace Research and Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10508387.pdf?arnumber=10508387

Reference33 articles.

1. The challenge of using the W band in satellite communication

2. Satellite-to-Ground Radiowave Propagation

3. The Q/W-band CubeSat LEO Propagation Experiment

4. The role of the Italian Space Agency in investigating high frequencies for satellite communications: The Alphasat experiment

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