2012
DOI: 10.1002/navi.10
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Autonomous Prediction of GPS and GLONASS Satellite Orbits

Abstract: A method to predict satellite orbits in a stand‐alone consumer‐grade GNSS navigation device is presented. The motivation for this work was to reduce the startup time of a navigation device without the use of network assistance. The presented orbit prediction method works for both GPS and GLONASS, achieving median accuracies of 58 and 23 m in satellite position, respectively, for prediction up to four days ahead. A simple method for prediction of the satellite's clock offsets is also discussed. A basic analysis… Show more

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Cited by 28 publications
(14 citation statements)
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“…From (22), it can be seen that the URE is mainly affected by the satellite orbit data error in the radial direction. So, in the tests, the MLTOP results errors in the radial direction were chosen as an important evaluation index.…”
Section: Resultsmentioning
confidence: 99%
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“…From (22), it can be seen that the URE is mainly affected by the satellite orbit data error in the radial direction. So, in the tests, the MLTOP results errors in the radial direction were chosen as an important evaluation index.…”
Section: Resultsmentioning
confidence: 99%
“…The EOP parameters can be estimated as elements of the initial vector of the orbit fitting process. Together with the satellite's position, velocity, and the solar radiation pressure parameters of the initial epoch [22], it can be improved in the orbit fitting process. In other words, the initial vector to be estimated is first given an initial value, and then the observations obtained from the historical broadcast ephemeris data can be used to improve the initial vector.…”
Section: Medium-and Long-term Ephemeris Extensionmentioning
confidence: 99%
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“…In order to accurately compute a GNSS satellite orbit, it is necessary to correct the BE's initial orbital state [3], [4]. Seppaanen et al [3] used an iterative nonlinear least squares algorithm to fit the force model's orbit to points on the BE's orbit.…”
Section: Introductionmentioning
confidence: 99%