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On the Use of Machine Learning Algorithms to Improve GNSS P..:
, In:
2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
,
Nardin, Andrea
;
Dovis, Fabio
;
Valsesia, Diego
... - p. 216-227 , 2023
Link:
https://doi.org/10.1109/PLANS53410.2023.10139920
RT T1 <cTitle>2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)</cTitle>: T1 <Title>On the Use of Machine Learning Algorithms to Improve GNSS Products</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10139920&Exemplar=1&LAN=DE A1 Nardin, Andrea A1 Dovis, Fabio A1 Valsesia, Diego A1 Magli, Enrico A1 Leuzzi, Chiara A1 Messineo, Rosario A1 Sobreira, Hugo A1 Swinden, Richard YR 2023 SN 2153-3598 K1 Global navigation satellite system K1 Estimation error K1 Machine learning algorithms K1 Statistical analysis K1 Navigation K1 Time series analysis K1 Measurement uncertainty K1 Machine-learning K1 GNSS K1 Ionosphere K1 Positioning SP 216 OP 227 LK http://dx.doi.org/https://doi.org/10.1109/PLANS53410.2023.10139920 DO https://doi.org/10.1109/PLANS53410.2023.10139920 SF ELIB - SuUB Bremen
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