Abstract | ||
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In recent years, the multi-GNSS positioning application is becoming more and more popular, same to the low Earth orbit (LEO) satellite precise orbit determination (POD) based on the onboard multi-GNSS measurements. The third-generation Beidou navigation satellite system (BDS-3) provides a new option to obtain the LEO satellite orbit solutions. However, the receiver intersystem bias (ISB) of different GNSS is unavoidable in multi-GNSS data processing. This paper's main goal is absorption of the impact of the ISB between BDS-3 and BDS-2 on the LEO satellite POD. Taking GPS-based POD solutions for the reference orbit, this paper evaluates the orbit accuracy of BDS-2-based POD, BDS-3-based POD, BDS-2 and BDS-3 combined PODs with/without ISB. The BDS-3-based POD accuracy is 6.57 cm in the 3D direction, a 56% improvement over BDS-2-based POD. When the ISB between BDS-3 and BDS-2 is estimated, the BDS-2/3 combined POD accuracy of 5.37 cm in the 3D direction is better than that without ISB, which is a 64% improvement over BDS-2-based POD and 18% improvement over BDS-3-based POD. For GPS and BDS-2/3 combined POD, the GPS and BDS-3 joint POD solutions have the smallest RMS differences in overlapping consistency and smallest RMS differences compared to GPS-based POD. This study indicates that estimating the BDS-2/3 receiver ISB in BDS-2/3 joint POD could improve the orbit accuracy, and the GPS and BDS-3 joint POD solution is better than another combined POD. This paper will provide meaningful references for the LEO satellite multi-GNSS-based POD. |
Year | DOI | Venue |
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2022 | 10.3390/rs14112514 | REMOTE SENSING |
Keywords | DocType | Volume |
low Earth orbit, precise orbit determination, intersystem bias, BDS-2, 3-based POD, GPS and BDS joint POD | Journal | 14 |
Issue | ISSN | Citations |
11 | 2072-4292 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xinglong Zhao | 1 | 0 | 0.34 |
Shanshi Zhou | 2 | 0 | 2.03 |
Jianfeng Cao | 3 | 0 | 0.34 |
Junjun Yuan | 4 | 0 | 0.68 |
Ziqian Wu | 5 | 0 | 0.34 |
Xiaogong Hu | 6 | 3 | 5.61 |