A New Meta-Learning Framework for Estimating Atmospheric Turbulence and Phase Noise in Optical Satellite Internet-of-Things Systems-Reference-Cited by-同舟云学术

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A New Meta-Learning Framework for Estimating Atmospheric Turbulence and Phase Noise in Optical Satellite Internet-of-Things Systems

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhou Xiaolin¹^ORCID,Lin Zhilin¹^ORCID,Gu Ruoshi¹,Ni Wei²^ORCID,Jamalipour Abbas³^ORCID

Affiliation:

1. School of Information Science and Technology, Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China

2. Data61, Commonwealth Science and Industrial Research Organisation (CSIRO), Sydney, NSW, Australia

3. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10305071.pdf?arnumber=10305071

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