From pure kinematical to reduced kinematical LEO orbit determination

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Shabanloui, A.: From pure kinematical to reduced kinematical LEO orbit determination. Geodätische Woche 2009, 22.-24. September 2009, Karlsruhe. https://www.geodaetische-woche.de/

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4691

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Sum total of downloads: 63




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Abstract: 
The geometrical point-wise satellite positions can be derived by GNSS analysis techniques. The different precise point positioning techniques based on GNSS observations will be designated as geometric orbit determination methods. In the geometrical determined LEO orbit, there is no connection between subsequent absolute positions, and consequently, no information about the velocity or even the acceleration (or in general kinematical information) of the satellite is available. To describe the time dependency of the motion of a satellite, it is necessary to provide a properly constructed function which consistently connects positions, velocities and accelerations. In this investigation, a new approach is presented based on approximation parameters, which have also a clearly defined relation to the dynamical model of the satellite's motion. To realize this, the kinematical orbit is not only a continuous approximation of the orbit as it is observed by GNSS observations; it is also a solution of Newton's equation of motion of the satellite. If the kinematical parameters are determined by a best fitting process based on the observations, then we perform a pure kinematical orbit determination. If constraints based on the dynamical force function model are used then the reduced kinematical orbit of a LEO is realized. In this case, we carry out a reduced kinematical orbit determination of a specific level, depending on the strength of the dynamical restrictions. The various possibilities of the reduced kinematical orbit determination with the corresponding results of CHAMP based on GNSS observations will be presented.
License of this version: CC BY 3.0 DE
Document Type: ConferenceObject
Publishing status: publishedVersion
Issue Date: 2009-09-23
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 33 52.38%
2 image of flag of United States United States 12 19.05%
3 image of flag of China China 5 7.94%
4 image of flag of No geo information available No geo information available 3 4.76%
5 image of flag of Nepal Nepal 2 3.17%
6 image of flag of Czech Republic Czech Republic 2 3.17%
7 image of flag of Russian Federation Russian Federation 1 1.59%
8 image of flag of Poland Poland 1 1.59%
9 image of flag of Indonesia Indonesia 1 1.59%
10 image of flag of Austria Austria 1 1.59%
    other countries 2 3.17%

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