Centimeter precise orbit determination for SWARM satellite via reduced-dynamic method

被引:0
|
作者
Zhang B. [1 ]
Nie L. [1 ,2 ]
Wu T. [1 ]
Feng J. [1 ]
Qiu Y. [1 ]
机构
[1] School of Geodesy and Geomatics, Wuhan University, Wuhan
[2] Hubei Water Resource Technical College, Wuhan
来源
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2016年 / 45卷 / 11期
基金
中国国家自然科学基金;
关键词
Centimeter level; Orbit determining strategy; Pseudo-stochastic pulses; Reduced-dynamic method; SWARM satellite;
D O I
10.11947/j.AGCS.2016.20160284
中图分类号
学科分类号
摘要
Combining dual-frequency satellite-borne GPS observations with reduced dynamic models, and introducing proper pseudo-stochastic pulse parameters into the satellite's motion equation, SWARM satellite precise orbit determination is implemented. The orbit accuracy is assessed using three methods, which include analysis satellite-borne GPS phase observation residuals, orbit overlaps and external orbit comparisons. The results indicate that the SWARM satellite-borne GPS phase observation residual RMS is in the range of 7 to 10 mm, radial, along-track and cross-track orbit overlap difference RMS of 6 hours are about 1 cm, three directions have no significant systematic errors, comparisons with orbits computed by European Space Agency (ESA), Radial orbit difference RMS is in the range of 2 to 5 cm, along-track orbit difference RMS is in the range of 2 to 5 cm, cross-track orbit difference RMS is in the range of 2 to 4 cm, 3D orbit difference RMS is in the range of 4 to 7 cm, SWARM-B orbit accuracy is better than SWARM-A and SWARM-C. This evaluations indicate that SWARM satellite precise orbit determination is practicable by using reduced-dynamic method and orbit determining strategy in the article, the orbit solution is well and stable, the orbit accuracy reaches centimeter level. © 2016, Surveying and Mapping Press. All right reserved.
引用
收藏
页码:1278 / 1284
页数:6
相关论文
共 22 条
  • [1] Friis-Christensen E., Luhr H., Knudsen D., Et al., SWARM-An Earth Observation Mission Investigating Geospace, Advances in Space Research, 41, 1, pp. 210-216, (2008)
  • [2] Visser P., Doornbos E., Van Den Ijssel J., Et al., Thermospheric Density and Wind Retrieval from Swarm Observations, Earth, Planets and Space, 65, 11, pp. 1319-1331, (2013)
  • [3] Van Den Ijssel J., Encarnaca O.J., Doornbos E., Et al., Precise Science Orbits for the SWARM Satellite Constellation, Advances in Space Research, 56, 6, pp. 1042-1055, (2015)
  • [4] Xu T., Yang Y., Recoverying the Gravitational Potential Model from the Ephemerides and Accelermeter of CHAMP, Acta Geodaetica et Cartographica Sinica, 33, 2, pp. 95-99, (2004)
  • [5] Chen Q., Shen Y., Zhang X., Et al., GRACE Data-based High Accuracy Global Static Earth's Gravity Field Model, Acta Geodaetica et Cartographica Sinica, 45, 4, pp. 396-403, (2016)
  • [6] Zhou H., Luo Z., Zhong B., Et al., MPI Parallel Algorithm in Satellite Gravity Field Model Inversion on the Basis of Least Square Method, Acta Geodaetica et Cartographica Sinica, 44, 8, (2015)
  • [7] Jaggi A., Dahle C., Arnold D., Et al., SWARM Kinematic Orbits and Gravity Fields from 18 Months of GPS Data, Advances in Space Research, 57, 1, pp. 218-233, (2016)
  • [8] Jaggi A., Hugentobler U., Beutler G., Pseudo-stochastic Orbit Modeling Techniques for Low-Earth Orbiters, Journal of Geodesy, 80, 1, pp. 47-60, (2006)
  • [9] Svehla D., Rothacher M., Kinematic and Reduced-Dynamic Precise Orbit Determination of Low Earth Orbiters, Advances in Geosciences, 1, pp. 47-56, (2003)
  • [10] Yunck T.P., Bertiger W.I., Wu S.C., Et al., First Assessment of GPS-based Reduced Dynamic Orbit Determination on TOPEX/POSEIDON, Geophysical Research Letters, 21, 7, pp. 541-544, (1994)