Satellite selection with an end-to-end deep learning network
Author:
Funder
China Scholarship Council
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/article/10.1007/s10291-018-0776-0/fulltext.html
Reference29 articles.
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3. Azami H, Mosavi MR, Sanei S (2013) Classification of GPS satellites using improved back propagation training algorithms. Wirel Pers Commun 71(2):789–803
4. Blanco-Delgado N, Nunes FD (2010) Satellite selection method for multi-constellation GNSS using convex geometry. IEEE Trans Veh Technol 59(9):4289–4297
5. Blanco-Delgado N, Nunes FD, Seco-Granados G (2017) On the relation between GDOP and the volume described by the user-to-satellite unit vectors for GNSS positioning. GPS Solut 21(3):1139–1147
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