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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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Receiver Antenna and Empirical Multipath Correction Models for GNSS Solutions

TL;DR: In this article, the authors address the topic of receiver antenna and empirical multipath correction models, aiming to further improve the accuracy of GNSS solutions by using post-fit phase residuals accumulated over a period of time.
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Improving performance of pedestrian positioning by using vehicular communication signals

TL;DR: A pedestrian positioning method, which leverages vehicular communication signals and uses vehicles as anchors is proposed, which is improved from three aspects: channel state information instead of received signal strength indicator (RSSI) is used, and fast mobility of vehicles is used to get diverse measurements, and Kalman filter is applied to smooth positioning results.
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Ionospheric Scintillation analysis using ROT and ROTI for Slip Cycle Detection

TL;DR: In this article, rate of TEC index (ROTI) and ROTI-based method has been used for detection and analysis of ionospheric scintillation events.
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50 anos de sinergia entre Geodésia Espacial e Meteorologia: do erro no posicionamento GNSS a aplicações de previsão de precipitação de curtíssimo prazo

TL;DR: A review of the state of the art in the synergy between Geodesy and Meteorology for modeling the neutral atmosphere (neutrosphere), its effect on GNSS positioning and in the estimation of atmospheric constituents, and their applications is presented in this paper.
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Visualization of GNSS multipath effects and its potential application in IGS data processing

TL;DR: In this article, a modified multipath error mitigation method using the multi-point hemispherical grid model (MHGM) is proposed, and the influence of changes in the observation environments of IGS stations on their data quality is evaluated.