Title | ||
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Analysis of Orbital Atmospheric Density from QQ-Satellite Precision Orbits Based on GNSS Observations |
Abstract | ||
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Atmospheric drag provides an indirect approach for evaluating atmospheric mass density, which can be derived from the Precise Orbit Determination (POD) of Low Earth Orbit (LEO) satellites. A method was developed to estimate nongravitational acceleration, which includes the drag acceleration of the thermospheric density model and empirical force acceleration in the velocity direction from the centimeter-level reduced-dynamic POD. The main research achievements include the study of atmospheric responses to geomagnetic storms, especially after the launch of the spherical Qiu Qiu (QQ)-Satellite (QQ-Satellite) with the global navigation system satellite (GNSS) receiver onboard tracking the Global Positioning System (GPS) and Beidou System (BDS) data. Using this derivation method, the high-accuracy POD atmospheric density was determined from these data, resulting in better agreement among the QQ-Satellite-derived densities and the NRLMSISE-00 model densities. In addition, the POD-derived density exhibited a more sensitive response to magnetic storms. Improved accuracy of short-term orbit predictions using derived density was one of the aims of this study. Preliminary experiments using densities derived from the QQ-Satellite showed promising and encouraging results in reducing orbit propagation errors within 24 h, especially during periods of geomagnetic activity. |
Year | DOI | Venue |
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2022 | 10.3390/rs14163873 | REMOTE SENSING |
Keywords | DocType | Volume |
QQ-Satellite, atmospheric mass density, precise orbit, drag acceleration, propagation | Journal | 14 |
Issue | ISSN | Citations |
16 | 2072-4292 | 0 |
PageRank | References | Authors |
0.34 | 0 | 16 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yueqiang Sun | 1 | 0 | 1.01 |
Bowen Wang | 2 | 0 | 0.34 |
Xiangguang Meng | 3 | 0 | 0.34 |
Xinchun Tang | 4 | 0 | 0.34 |
Feng Yan | 5 | 0 | 0.34 |
Xianguo Zhang | 6 | 0 | 0.34 |
Weihua Bai | 7 | 0 | 1.69 |
Qifei Du | 8 | 0 | 5.07 |
Xianyi Wang | 9 | 0 | 0.68 |
Yuerong Cai | 10 | 0 | 0.68 |
Bibo Guo | 11 | 0 | 0.34 |
Shilong Wei | 12 | 0 | 0.34 |
Hao Qiao | 13 | 1 | 2.09 |
Peng Hu | 14 | 0 | 0.68 |
Y. P. Li | 15 | 92 | 12.55 |
Xinyue Wang | 16 | 0 | 0.34 |