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https://hdl.handle.net/10356/181584
Title: | Calculating global navigation satellite system satellite velocities and accelerations by utilizing the orbit fitting and orbit integration methods | Authors: | Song, Chuanfeng Geng, Shilong Chen, Liang An, Xiangdong Ma, Hongyang |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Song, C., Geng, S., Chen, L., An, X. & Ma, H. (2024). Calculating global navigation satellite system satellite velocities and accelerations by utilizing the orbit fitting and orbit integration methods. Remote Sensing, 16(13), 16132366-. https://dx.doi.org/10.3390/rs16132366 | Journal: | Remote Sensing | Abstract: | The high-precision satellite velocities and accelerations calculated by the Global Navigation Satellite System (GNSS) are essential for tasks such as airborne gravity data processing. Users generally interpolate satellite positions in the precise ephemeris to calculate satellite velocity and acceleration. However, due to the edge effect, the accuracy of the interpolation is relatively low near day boundaries. In this study, a method for calculating GNSS satellite velocity and acceleration based on orbit fitting and orbit integration was proposed, and the high-precision transformation relationship between satellite velocity and acceleration in the Earth-Centered Inertial (ECI) coordinate system and the Earth-Centered, Earth-Fixed (ECEF) coordinate system was derived. The experimental results show that the satellite velocity accuracy is 1.5 × 10−6 m/s and the acceleration accuracy is 1.0 × 10−8 m/s2 according to the proposed method. Thus, the proposed method improves the accuracy of calculating satellite velocity and acceleration near day boundaries, and helps GNSS users to obtain satellite velocity and acceleration information with consistent precision throughout the day. | URI: | https://hdl.handle.net/10356/181584 | ISSN: | 2072-4292 | DOI: | 10.3390/rs16132366 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
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remotesensing-16-02366.pdf | 11.94 MB | Adobe PDF | ![]() View/Open |
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