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GNSS -- global navigation satellite systems : GPS, GLONASS, Galileo, and more

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TLDR
The next generation of positioning models for positioning and data processing will depend on the design of the satellite itself, as well as on the satellite orbits it is placed in.
Abstract
Reference systems.- Satellite orbits.- Satellite signals.- Observables.- Mathematical models for positioning.- Data processing.- Data transformation.- GPS.- Glonass.- Galileo.- More on GNSS.- Applications.- Conclusion and outlook.

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Citations
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Book ChapterDOI

Toward Real-time Geodetic Monitoring of Landslides with GNSS Mass-market Devices

TL;DR: This work investigates the possibility of employment of GNSS mass-market receivers and antenna for Network Real-Time Kinematic positioning for displacement detection to reduce costs for monitoring activities, improve the quality of the solutions, and to allow a “smart” use of GN SS technologies for monitoring.
Proceedings ArticleDOI

Changes in the Distribution of Observed Statistics of Time Derivatives of the Total Electron Content because of Cycle Slips in Navigation Satellite’s Signals

TL;DR: In this article, the change in the distribution of observed statistics of time derivatives of the total electron content was analyzed, because there are cycle slips in signals of navigation satellites, according to the analysis of the statistics of the phase of signals, an assumption about the physical and technical reasons for phase failures was made.
Dissertation

Transformasjon fra global referanseramme til nasjonal referanseramme EUREF89

TL;DR: For instance, NTNU -Norges teknisk-naturvitenskapelige universitet as mentioned in this paper is an institution for bygg- og miljoteknikk.
Book ChapterDOI

Vision-Based Localization for Multi-rotor Aerial Vehicle in Outdoor Scenarios

TL;DR: In this paper, an experimental evaluation of the embedded visual localization system, the Intel RealSense T265, deployed on a multi-rotor unmanned aerial vehicle was performed to examine the limits of the localization system and discover its weak points.
Journal ArticleDOI

The Improvement of IRI2016 global maps by the integration of Swarm and GPS observations

TL;DR: In this paper , the International Reference Model 2016 (IRI2016) was selected as the background model and the corrections were modeled by spherical harmonic expansion functions up to the degree and rank 15 in a Sun-fixed reference frame.