Ionospheric scintillation simulation based on neural networks-Reference-Cited by-同舟云学术

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Ionospheric scintillation simulation based on neural networks

Published:2023-07-06 Issue: Volume: Page:
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Container-title:IEEE EUROCON 2023 - 20th International Conference on Smart Technologies
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Author:

Freitas Moisés J. S.¹,Moraes Alison O.¹,Costa Emanoel²,Máximo Marcos R. O. A.³,De S. Faria Clodoaldo⁴

Affiliation:

1. Instituto Tecnològico de Aeronáutica (ITA),São José dos Campos,Brazil

2. Centro de Estudos em Telecomunicações Pontificia Universidade Catélica do Rio de Janeiro (PUC-Rio),Rio de Janeiro,Brazil

3. Instituto Tecnológico de Aeronáutica (ITA),Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,São José dos Campos,Brazil

4. Universidade Estadual Paulista (UNESP),Presidente Prudente,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10198869/10198877/10198940.pdf?arnumber=10198940

Reference16 articles.

1. Radio Wave Scintillations in the Ionosphere;yeh;Proceedings of the IEEE,1982

2. The $\alpha$-$\mu$ Distribution: A Physical Fading Model for the Stacy Distribution

3. Analysis of the Characteristics of Low-Latitude GPS Amplitude Scintillation Measured During Solar Maximum Conditions and Implications for Receiver Performance

4. Time-series Generative Adversarial Networks;yoon;Advances in neural information processing systems,2019

5. Visualizing Data Using t-SNE;van der maaten;Journal of Machine Learning Research,2008

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