Regional Ionosphere Delay Models Based on CORS Data and Machine Learning

Randa Natras; Andreas Goss; Dzana Halilovic; Nina Magnet; Medzida Mulic; Michael Schmidt,; Robert Weber

doi:10.33012/navi.577

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Regional Ionosphere Delay Models Based on CORS Data and Machine Learning

Randa Natras, Andreas Goss, Dzana Halilovic, Nina Magnet, Medzida Mulic, Michael Schmidt, and Robert Weber

NAVIGATION: Journal of the Institute of Navigation September 2023, 70 (3) navi.577; DOI: https://doi.org/10.33012/navi.577

Randa Natras

1Deutsches Geodätisches, Forschungsinstitut der Technischen Universität München (DGFI-TUM), Department of Aerospace and Geodesy, Technical University of Munich, Munich, 80333, Germany

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For correspondence: [email protected]

Andreas Goss

1Deutsches Geodätisches, Forschungsinstitut der Technischen Universität München (DGFI-TUM), Department of Aerospace and Geodesy, Technical University of Munich, Munich, 80333, Germany

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Dzana Halilovic

3Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, 1040, Austria

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Nina Magnet

2OHB Digital Solutions GmbH, Graz, 8044, Austria

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Medzida Mulic

4Department of Geodesy and Geoinformation, University of Sarajevo, Sarajevo, 71000, Bosnia-Herzegovina

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Michael Schmidt,

1Deutsches Geodätisches, Forschungsinstitut der Technischen Universität München (DGFI-TUM), Department of Aerospace and Geodesy, Technical University of Munich, Munich, 80333, Germany

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Robert Weber

3Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, 1040, Austria

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Regional Ionosphere Delay Models Based on CORS Data and Machine Learning

Randa Natras, Andreas Goss, Dzana Halilovic, Nina Magnet, Medzida Mulic, Michael Schmidt,, Robert Weber

NAVIGATION: Journal of the Institute of Navigation Sep 2023, 70 (3) navi.577; DOI: 10.33012/navi.577

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Regional Ionosphere Delay Models Based on CORS Data and Machine Learning

Randa Natras, Andreas Goss, Dzana Halilovic, Nina Magnet, Medzida Mulic, Michael Schmidt,, Robert Weber

NAVIGATION: Journal of the Institute of Navigation Sep 2023, 70 (3) navi.577; DOI: 10.33012/navi.577

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Keywords

artificial neural network
ionosphere delay modeling
machine learning
regional ionosphere model
single-frequency positioning
vertical total electron content

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