Comparison of BDS Station Clock Short-term Prediction Models and their Applications in Precise Orbit Determination |
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| Institution: | 1. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030;2. University of Chinese Academy of Sciences, Beijing 100049;3. School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049;4. Department of Maritime System Engineering, Tokyo University of Marine Science and Technology, Tokyo 1358533;1. Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai 201210;2. National University of Defence Technology, Changsha 410073;3. Centre National d’Etudes Spatiales, Toulouse 31401;4. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012;5. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049;6. CEA/IRFU, Paris 91191;1. College of Big Data and Information Engineering/College of Physics, Guizhou University, Guiyang 550025;2. School of Physics and Electronics, Qiannan Normal University for Nationalities, Duyun 558000;3. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030;1. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023;2. Key Laboratory of Dark Matter and Space Astronomy, Chinese Academy of Sciences, Nanjing 210023;3. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070;4. School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026;5. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023;1. Key Laboratory foe Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033;2. University of Chinese Academy of Sciences, Beijing 100049;3. School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026;1. College of Mathematics and Physics Science, Hunan University of Arts and Science, Changde 415000;2. Center for Astrophysics, Guangzhou University, Guangzhou 510006;1. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023;2. School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026;3. CAS Key Laboratory of Planetary Sciences, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023 |
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| Abstract: | BDS (BeiDou Navigation Satellite System) ground tracking stations are equipped with high accuracy atomic clocks, and they are synchronized with the BDS time scale (BDT) via the Precise Orbit Determination (POD) processing. During the periods of satellite maneuver and post-maneuver, station clocks are kept fixed as known values in the POD processing. To improve the real-time POD capability, station clocks need to be predicted. In this paper, the performance of three clock prediction models is evaluated, including quadratic polynomial model (QP), periodical term model (PM), and grey model (GM). The precision of clock fitting and prediction, as well as the performance of the prediction models in POD are compared. Data of six stations are used for test, and the results show that: the mean fitting accuracy of quadratic polynomial model, periodical term model, and grey model is 0.14 ns, 0.05 ns, 0.27 ns, respectively; the 1 h and 2 h prediction precision of the three models is 1.17 ns, 0.88 ns, 1.28 ns, and 2.72 ns, 2.09 ns, 2.53 ns, respectively. Applying the 1 h and 2 h predicted station clocks in the POD, the 3D orbit accuracy reaches the best using the periodical term model, while the radial accuracy of satellite orbit is rather close for the three models with the difference within 3 cm. |
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| Keywords: | Clock error prediction spectrum analysis periodical term model orbit determination |
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