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

Mika Saajasto, Maija Mäkelä, Fabricio dos Santos Prol, Mohammad Zahidul H. Bhuiyan, Sanna Kaasalainen. Convolutional neural network based approach for estimating ionospheric delay from GNSS observables. In Jari Nurmi, Joaquín Torres-Sospedra, Elena Simona Lohan, Joaquín Huerta, Aleksandr Ometov, editors, International Conference on Localization and GNSS, ICL-GNSS 2023, Castellón, Spain, June 6-8, 2023. pages 1-7, IEEE, 2023. [doi]

@inproceedings{SaajastoMPBK23,
  title = {Convolutional neural network based approach for estimating ionospheric delay from GNSS observables},
  author = {Mika Saajasto and Maija Mäkelä and Fabricio dos Santos Prol and Mohammad Zahidul H. Bhuiyan and Sanna Kaasalainen},
  year = {2023},
  doi = {10.1109/ICL-GNSS57829.2023.10148920},
  url = {https://doi.org/10.1109/ICL-GNSS57829.2023.10148920},
  researchr = {https://researchr.org/publication/SaajastoMPBK23},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {International Conference on Localization and GNSS, ICL-GNSS 2023, Castellón, Spain, June 6-8, 2023},
  editor = {Jari Nurmi and Joaquín Torres-Sospedra and Elena Simona Lohan and Joaquín Huerta and Aleksandr Ometov},
  publisher = {IEEE},
  isbn = {979-8-3503-2308-5},
}