Machine learning methodology for TEC prediction using global positioning system signal measurements
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference27 articles.
1. Modeling of GPS-TEC using QR-decomposition over the low latitude sector during disturbed geomagnetic conditions;Dabbakuti;Adv. Space Res.,2019
2. Modeling of ionospheric TEC corrections based on modified mapping function and Gram–Schmidt orthogonalization at low latitude region;Pyla;Astrophys Space Sci,2020
3. Analysis of local ionospheric variability based on SVD and MDS at low-latitude GNSS stations;Dabbakuti;Earth Planet Sp,2016
4. J. K. Dabbakuti, D. V. Ratnam, and S. Sunda, “Modelling of ionospheric time delays based on adjusted spherical harmonic analysis,” Aviation, vol. 20, no. 1, pp. 1-7, 2016.
5. Characterization of ionospheric variability in TEC using EOF and wavelets over low-latitude GNSS stations;Dabbakuti;Adv. Space Res.,2016
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Short-term Adaptive Forecast Model for TEC over equatorial low latitude region;Dynamics of Atmospheres and Oceans;2023-03
2. A Systematic Review of Machine Learning Techniques for GNSS Use Cases;IEEE Transactions on Aerospace and Electronic Systems;2022-12
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