Applying simplification algorithms for efficient EM-simulations of a complex Galileo satellite model

2016 ◽  
Author(s):  
Christos Oikonomopoulos-Zachos ◽  
Winfried Simon ◽  
Michael Meuleners ◽  
Christoph Degen
Keyword(s):  
Galileo Satellite

scholarly journals Combining GPS, BeiDou, and Galileo Satellite Systems for Time and Frequency Transfer Based on Carrier Phase Observations

2018 ◽  
Vol 10 (2) ◽  
pp. 324 ◽  
Author(s):  
Pengfei Zhang ◽  
Rui Tu ◽  
Rui Zhang ◽  
Yuping Gao ◽  
Hongbin Cai
Keyword(s):  
Carrier Phase ◽  
Satellite Systems ◽  
Frequency Transfer ◽  
Galileo Satellite

Framing a Satellite Based Asset Tracking (SPARTACUS) within Smart City Technology

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Fabio Casciati ◽  
Sara Casciati ◽  
Clemente Fuggini ◽  
Lucia Faravelli ◽  
Ivan Tesfai ◽  
...  
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
The European Union ◽  
Satellite Systems ◽  
Civil Infrastructures ◽  
Asset Tracking ◽  
Galileo System ◽  
Galileo Satellite ◽  
Gps System

 “Smart city” is a term currently used to denote cities moved by the opportunity to enhance the quality of life and the security of their citizens. Attention is here focused on the concept that the development of smart cities can also be achieved by improving the efficiency of civil infrastructures through a real-time monitoring. This is the specific target of the European Union FP7 project (SPARTACUS), moved from the parallel chance to develop industry pull applications for the European EGNOS and GALILEO satellite systems. In this paper, laboratory tests are carried out to provide specific devices the ability to run while satisfying the requirements of the incoming GALILEO system. Moreover, some of the targets are achieved within the current GPS system. An extensive experimental campaign is offered to validate the units in such a scenario.

scholarly journals Two-Step Galileo E1 CBOC Tracking Algorithm: When Reliability and Robustness Are Keys!

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Aleksandar Jovanovic ◽  
Cécile Mongrédien ◽  
Youssef Tawk ◽  
Cyril Botteron ◽  
Pierre-André Farine
Keyword(s):  
Tracking Algorithm ◽  
Tracking Accuracy ◽  
Multipath Mitigation ◽  
Binary Offset Carrier ◽  
Signal Tracking ◽  
Gps Navigation ◽  
Tracking Process ◽  
Galileo Satellite ◽  
Navigation Signals ◽  
Reliability And Robustness

The majority of 3G mobile phones have an integrated GPS chip enabling them to calculate a navigation solution. But to deliver continuous and accurate location information, the satellite tracking process has to be stable and reliable. This is still challenging, for example, in heavy multipath and non-line of sight (NLOS) environments. New families of Galileo and GPS navigation signals, such as Alternate Binary Offset Carrier (AltBOC), Composite Binary Offset Carrier (CBOC), and Time-Multiplex Binary Offset Carrier (TMBOC), will bring potential improvements in the pseudorange calculation, including more signal power, better multipath mitigation capabilities, and overall more robust navigation. However, GNSS signal tracking strategies have to be more advanced in order to profit from the enhanced properties of the new signals.In this paper, a tracking algorithm designed for Galileo E1 CBOC signal that consists of two steps, coarse and fine, with different tracking parameters in each step, is presented and analyzed with respect to tracking accuracy, sensitivity and robustness. The aim of this paper is therefore to provide a full theoretical analysis of the proposed two-step tracking algorithm for Galileo E1 CBOC signals, as well as to confirm the results through simulations as well as using real Galileo satellite data.

An Innovative Dual Frequency PPP Model for Combined GPS/Galileo Observations

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Akram Afifi ◽  
Ahmed El-Rabbany
Keyword(s):  
Unknown Parameter ◽  
Precise Point Positioning ◽  
Satellite System ◽  
Convergence Time ◽  
Dual Frequency ◽  
Solution Convergence ◽  
Accuracy Level ◽  
Satellite Geometry ◽  
Galileo Satellite ◽  
Time Offset

AbstractThis paper develops a new dual-frequency precise point positioning model, which combines GPS and Galileo observables. The addition of Galileo satellite system offers more visible satellites to the user, which is expected to enhance the satellite geometry and the overall PPP solution in comparison with GPS-only PPP solution. However, combining GPS and Galileo observables introduces additional biases, which require rigorous modelling, including the GPS to Galileo time offset, and Galileo satellite hardware delay. In this research, a GPS/Galileo ionosphere-free linear combination PPP model is developed. The additional biases of the GPS/Galileo combination are lumped and accounted for through the introduction of a new unknown parameter, inter-systems bias, in the PPP mathematical model. It is shown that a subdecimeter positioning accuracy level and 25% reduction in the solution convergence time can be achieved with the developed GPS/Galileo PPP model.

scholarly journals Oxygen and environmental stress in plants - an overview

1994 ◽  
Vol 102 ◽  
pp. 1-10 ◽  
Author(s):  
George A. F. Hendry ◽  
R. M. M. Crawford
Keyword(s):  
Solar System ◽  
Narrow Band ◽  
Atmospheric Oxygen ◽  
Recent Event ◽  
Radio Emissions ◽  
The Earth ◽  
Reducing Conditions ◽  
Galileo Satellite ◽  
Life On Earth ◽  
Intelligent Life

The Galileo satellite during its recent passes close to the Earth recorded a planet with an unusual red-absorbing pigment, a poisonous atmosphere, simultaneously rich in oxygen and in methane, with strong, modulated, narrow-band, radio emissions in the MHz frequencies (Sagan et al. 1993). To an observer visiting the solar system, these features; the photo-oxidisable pigment chlorophyll, abundant atmospheric oxygen, the existence of reducing conditions and intelligent life might well appear self-contradictory. While intelligent life is a recent event, the presence of other forms of life based on photosynthesis and survival under both oxygen-rich atmospheres and reducing conditions go back to the earliest times (Table 1). Life on Earth has evolved over nearly 4 G years under atmospheric environments ranging from anoxia, to hypoxia, to hyperoxia (relative to the present day), and not always in that sequence.

Data analysis of GEONET network data applying Galileo Satellite System

2020 ◽  
Author(s):  
Seiichi Shimada
Keyword(s):  
Solar Radiation Pressure ◽  
Satellite System ◽  
Network Data ◽  
Current Version ◽  
Satellite Systems ◽  
Gps Satellites ◽  
Galileo Satellite ◽  
One Year ◽  
Near Future ◽  
Limited Accuracy

<p>GEONET tracking data is analyzed applying Galileo and/or GPS satellite systems, using GAMIT/GLOBK software. We adopt ITRF2014 reference frame and CODE precise orbit obtained in the GMEX experiment. For the fiducial sites, we use 14 IGS sites in and around East Asia both Galileo and GPS analyses. At the IGS sites in this area, number of sites, whose coordinates and velocity are determined in Altamimi et al.(2016) and also tracking Galileo satellites, is very limited. In the current version of the GAMIT/GLOBK program, the solar radiation pressure model of the Galileo satellites has limited accuracy, which results in large errors in the analysis using the Galileo satellites. Preliminary results from 10-day Galileo satellites analysis of the 2018 DOY 300-309 show that the weighted rms of the N-S component of the repeatability of 1276 GEONET site coordinates is 5.5 mm, the E-W component 4.5 mm, and the U-D component 9.0 mm. On the other hand, for those from GPS satellites show that those weighted rms of the N-S component is 1.6 mm, E-W component 1.3 mm, and U-D component 3.5 mm. Therefore, the repeatability of the GEONET site coordinate solution of the composite solution of GPS and Galileo satellites has hardly improved: the weighted rms of the N-S component is 2.7 mm, E-W component 2.0 mm, and U-D component 3.7 mm. The presentation will show the results applying the new Galileo satellite solar pressure model (ECOMC model) included in the updated GAMIT/GLOBK program released in the near future, as well as the period of analysis more than one year. </p>

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