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| dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
|---|---|
| dc.contributor | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
| dc.contributor | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
| dc.contributor | Universitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres |
| dc.contributor.author | Monte Moreno, Enrique |
| dc.contributor.author | García Rigo, Alberto |
| dc.contributor.author | Hernández Pajares, Manuel |
| dc.contributor.author | Yang, Heng |
| dc.date | 2018-06-22 |
| dc.identifier.citation | Monte, E., Garcia-Rigo, A., Hernandez, M., Yang, H. TEC forecasting based on manifold trajectories. "Remote sensing", 22 Juny 2018, vol. 10, núm. 7, p. 988-1013. |
| dc.identifier.citation | 2072-4292 |
| dc.identifier.citation | 10.3390/rs10070988 |
| dc.identifier.uri | http://hdl.handle.net/2117/118444 |
| dc.description.abstract | In this paper, we present a method for forecasting the ionospheric Total Electron Content (TEC) distribution from the International GNSS Service’s Global Ionospheric Maps. The forecasting system gives an estimation of the value of the TEC distribution based on linear combination of previous TEC maps (i.e., a set of 2D arrays indexed by time), and the computation of a tangent subspace in a manifold associated to each map. The use of the tangent space to each map is justified because it allows modeling the possible distortions from one observation to the next as a trajectory on the tangent manifold of the map. The coefficients of the linear combination of the last observations along with the tangent space are estimated at each time stamp to minimize the mean square forecasting error with a regularization term. The estimation is made at each time stamp to adapt the forecast to short-term variations in solar activity. |
| dc.description.abstract | Peer Reviewed |
| dc.language.iso | eng |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
| dc.relation | http://www.mdpi.com/2072-4292/10/7/988 |
| dc.relation | info:eu-repo/grantAgreement/ES/1PE/TEC2015-69266-P |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció |
| dc.subject | Remote sensing |
| dc.subject | Total electron content |
| dc.subject | Ionosphere |
| dc.subject | Forecasting |
| dc.subject | Tangent distance |
| dc.subject | GNSS |
| dc.subject | Teledetecció |
| dc.title | TEC forecasting based on manifold trajectories |
| dc.type | info:eu-repo/semantics/publishedVersion |
| dc.type | info:eu-repo/semantics/article |
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