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| Content Provider | Springer Nature Link |
|---|---|
| Author | Akim, E. L. Astakhov, A. P. Bakit’ko, R. V. Pol’shchikov, V. P. Stepan’yants, V. A. Tuchin, A. G. Tuchin, D. A. Yaroshevskii, V. S. |
| Copyright Year | 2009 |
| Abstract | An autonomous navigation system for near-Earth spacecraft is described; this system allows determination of the satellite orbit and prediction of its motion parameters. Radio navigation measurements of GLONASS and GPS satellite systems are used for this purpose. The autonomous navigation system is designated for operation on near-Earth orbits which do not go beyond the navigation areas of GLONASS and/or GPS and on orbits with large eccentricity whose apocenter is at a distance of 50–70 thousand km from the Earth’s surface. The developed methods and algorithms for orbit determination are based on the application of laws of motion dynamics of a spacecraft directly at processing primary phase measurements of the carrier frequency and code pseudo-range using an extended measurement base. Algorithms for determination of motion parameters of the spacecraft and results of simulation and operation of a model system are presented. The possibility of creation of an onboard autonomous navigation system with precision and reliability higher than those of the ground measuring complex is demonstrated. |
| Starting Page | 295 |
| Ending Page | 312 |
| Page Count | 18 |
| File Format | |
| ISSN | 10642307 |
| Journal | Journal of Computer and Systems Sciences International |
| Volume Number | 48 |
| Issue Number | 2 |
| e-ISSN | 15556530 |
| Language | English |
| Publisher | SP MAIK Nauka/Interperiodica |
| Publisher Date | 2009-05-07 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Control Robotics Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Theoretical Computer Science Computer Networks and Communications Control and Systems Engineering Information Systems Computer Vision and Pattern Recognition Software |
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