Abstract. The adaptative classification of the rays received from a constellation of geodetic satellites (the Global Positioning System (GPS)) by a set of ground receivers is performed using neural networks. This strategy allows us to improve the reliability of reconstructing the ionospheric electron distribution from GPS data. As an example, we present the evolution at global scale of the radially integrated electron density (total electron content (TEC)) for October 18, 1995, coinciding with an important geomagnetic storm
This chapter presents a neural-network-based technique that allows for the reconstruction of the glo...
Part 5: Modeling and Decision Support SystemsInternational audienceThis paper presents the developme...
This paper attempts to describe the search for the parameter(s) to represent solar wind effects in G...
Global Positioning System (GPS) networks provide an opportunity to study the dynamics and continuous...
fields of Geodesy and satellite navigation. In this paper we present a new technique of regional mod...
The Earth’s ionosphere affects the propagation of signals from the Global Navigation Satellite Syste...
The ionosphere plays an important role in satellite navigation, radio communication, and space weath...
The propagation of radio signals in the Earth’s atmosphere is dominantly affected by the ionosphere ...
We introduce a novel empirical model to forecast, 24 hours in advance, the Total Electron Content (T...
We introduce a novel empirical model to forecast, 24 h in advance, the Total Electron Content (TEC) ...
© 2019 IEEE. The paper presents a method for estimating geomagnetic and solar activity indices using...
Characterization and modeling of ionospheric variability in space and time is very important for com...
Total Electron Content (TEC) data can be obtained from Global Navigation Satellite Systems (GNSS) d...
Regional ionosphere mapping is necessary to understand the underlying characteristics of ionosphere....
Global Positioning System (GPS) signals provide us with a unique opportunity to continually monitor ...
This chapter presents a neural-network-based technique that allows for the reconstruction of the glo...
Part 5: Modeling and Decision Support SystemsInternational audienceThis paper presents the developme...
This paper attempts to describe the search for the parameter(s) to represent solar wind effects in G...
Global Positioning System (GPS) networks provide an opportunity to study the dynamics and continuous...
fields of Geodesy and satellite navigation. In this paper we present a new technique of regional mod...
The Earth’s ionosphere affects the propagation of signals from the Global Navigation Satellite Syste...
The ionosphere plays an important role in satellite navigation, radio communication, and space weath...
The propagation of radio signals in the Earth’s atmosphere is dominantly affected by the ionosphere ...
We introduce a novel empirical model to forecast, 24 hours in advance, the Total Electron Content (T...
We introduce a novel empirical model to forecast, 24 h in advance, the Total Electron Content (TEC) ...
© 2019 IEEE. The paper presents a method for estimating geomagnetic and solar activity indices using...
Characterization and modeling of ionospheric variability in space and time is very important for com...
Total Electron Content (TEC) data can be obtained from Global Navigation Satellite Systems (GNSS) d...
Regional ionosphere mapping is necessary to understand the underlying characteristics of ionosphere....
Global Positioning System (GPS) signals provide us with a unique opportunity to continually monitor ...
This chapter presents a neural-network-based technique that allows for the reconstruction of the glo...
Part 5: Modeling and Decision Support SystemsInternational audienceThis paper presents the developme...
This paper attempts to describe the search for the parameter(s) to represent solar wind effects in G...