caa a22 4500 606162585 CHVBK 20210128100639.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10291-014-0380-x doi (NATIONALLICENCE)springer-10.1007/s10291-014-0380-x An impact analysis of arc length on orbit prediction and clock estimation for PPP ambiguity resolution [Elektronische Daten] [Yihe Li, Yang Gao, Bofeng Li] Real-time precise orbit and clock products are crucial for real-time high-precision precise point positioning (PPP). The key for precise orbit prediction is to precisely determine the initial conditions (satellite position, velocity at the initial epoch) and the solar radiation pressure (SRP) parameters using an arc of known precise orbits. The optimal arc length will be investigated for precise orbit prediction, with which the high-accuracy satellite clocks can be estimated. The orbit prediction accuracies with different arc lengths and conditions over time are also investigated. The results indicate that the predicted orbit accuracy is governed by the SRP parameters. In addition, the predicted orbits and estimated clocks are evaluated quantitatively with respect to PPP solutions during in and out of eclipses seasons, based on which the optimal arc length is identified. The numerical results show that high-accuracy orbital prediction can be achieved using an arc length between 36 and 48h and generally an arc length of 42h is considered to be optimal. With this optimal arc length, the estimated clock accuracy is 0.048 and 0.122ns for a prediction interval of 6 and 24h, respectively. The average PPP ambiguity fix-rates with a prediction interval of 6h are 80.2 and 84.7% over an observation period of 30min and 1h, respectively. Springer-Verlag Berlin Heidelberg, 2014 Arc length nationallicence Orbit prediction nationallicence SRP parameters nationallicence Satellite clock estimation nationallicence PPP AR nationallicence Li Yihe Department of Geomatics Engineering, University of Calgary, Calgary, Canada aut Gao Yang Department of Geomatics Engineering, University of Calgary, Calgary, Canada aut Li Bofeng College of Surveying and Geo-Informatics, Tongji University, 200092, Shanghai, People's Republic of China aut GPS Solutions Springer Berlin Heidelberg 19/2(2015-04-01), 201-213 1080-5370 19:2<201 2015 19 10291 https://doi.org/10.1007/s10291-014-0380-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10291-014-0380-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yihe Department of Geomatics Engineering, University of Calgary, Calgary, Canada aut NATIONALLICENCE 700 1- Gao Yang Department of Geomatics Engineering, University of Calgary, Calgary, Canada aut NATIONALLICENCE 700 1- Li Bofeng College of Surveying and Geo-Informatics, Tongji University, 200092, Shanghai, People's Republic of China aut NATIONALLICENCE 773 0- GPS Solutions Springer Berlin Heidelberg 19/2(2015-04-01), 201-213 1080-5370 19:2<201 2015 19 10291