| Title | Next-Generation Algorithms for Navigation, Geodesy and~Earth Sciences Under Modernized Global Navigation Satellite Systems (GNSS) |
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| Author | Santos, M C; Langley, R B; Leandro, R F; Pagiatakis, S; Bisnath, S; Santerre, R; Cocard, M; El-Rabbany, A; Landry, R; Dragert, H; Héroux, P; Collins, P |
| Source | International Association of Geodesy Symposia vol. 133, 2009 p. 817-824, https://doi.org/10.1007/978-3-540-85426-5 94 |
| Year | 2009 |
| Alt Series | Natural Resources Canada, Contribution Series 20182873 |
| Publisher | Springer Berlin Heidelberg |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Abstract | The project on "Next-generation algorithms for navigation, geodesy and earth sciences under modernized Global Navigation Satellite Systems (GNSS)" has been under development within the scope of the
Geomatics for Informed Decisions (GEOIDE) Network. The GEOIDE Network is part of the Networks of Centres of Excellence program (NCE) of the government of Canada. Networks of Centres of Excellence are unique partnerships among universities,
industries, government and non-profit organizations aimed at turning Canadian research and entrepreneurial talent into economic and social benefits for all Canadians. Among its objectives, the GEOIDE Network intends to drive the research and
development of new geomatics technologies and methods via multidisciplinary collaboration in a fully networked environment. The GEOIDE Network, having started operations in 1998, is currently in its Phase III. In this paper the authors will present
an overview of the activities which have taken place under this project. They include: (a) Processing and analysis of real modernized GNSS data (L2C) as well as simulated modernized GPS and Galileo data; (b) Performing constellation system
performance and augmentation analyses of the modernized GNSS; (c) Designing algorithms for single point and relative positioning using combined signals; and (d) Integrating legacy and modernized GNSS signals. |
| GEOSCAN ID | 312717 |
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