Convolutional neural network based approach for estimating ionospheric delay from GNSS observables-Reference-Cited by-同舟云学术

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Convolutional neural network based approach for estimating ionospheric delay from GNSS observables

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Localization and GNSS (ICL-GNSS)
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Author:

Saajasto Mika¹,Mäkelä Maija¹,Prol Fabricio S.¹,Bhuiyan M. Zahidul H.¹,Kaasalainen Sanna¹

Affiliation:

1. Finnish Geospatial Research Institute,Dep. of Navigation and Positioning,Espoo,Finland

Funder

Academy of Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10148895/10148913/10148920.pdf?arnumber=10148920

Reference35 articles.

1. Fast Ionospheric Correction Algorithm for Galileo Single Frequency Users

2. Phoneme recognition using time-delay neural networks

3. The NeQuick model genesis, uses and evolution

4. Performance of different TEC models to provide GPS ionospheric corrections

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1. Modeling Equatorial to Mid‐Latitudinal Global Night Time Ionospheric Plasma Irregularities Using Machine Learning;Space Weather;2024-02-29

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