Acta Geophysica

, Volume 65, Issue 1, pp 1–12 | Cite as

Centimeter-level precise orbit determination for the HY-2A satellite using DORIS and SLR tracking data

Research Article

Abstract

The HY-2A satellite is the first ocean dynamic environment monitoring satellite of China. Centimeter-level radial accuracy is a fundamental requirement for its scientific research and applications. To achieve this goal, we designed the strategies of precise orbit determination (POD) in detail. To achieve the relative optimal orbit for HY-2A, we carried out POD using DORIS-only, SLR-only, and DORIS + SLR tracking data, respectively. POD tests demonstrated that the consistency level of DORIS-only and SLR-only orbits with respect to the CNES orbits were about 1.81 cm and 3.34 cm in radial direction in the dynamic sense, respectively. We designed 6 cases of different weight combinations for DORIS and SLR data, and found that the optimal relative weight group was 0.2 mm/s for DORIS and 15.0 cm for SLR, and RMS of orbit differences with respect to the CNES orbits in radial direction and three-dimensional (3D) were 1.37 cm and 5.87 cm, respectively. These tests indicated that the relative radial and 3D accuracies computed using DORIS + SLR data with the optimal relative weight set were obviously higher than those computed using DORIS-only and SLR-only data, and satisfied the requirement of designed precision. The POD for HY-2A will provide the invaluable experience for the following HY-2B, HY-2C, and HY-2D satellites.

Keywords

HY-2A satellite Precise orbit determination DORIS SLR Weight 

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Copyright information

© Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2017

Authors and Affiliations

  1. 1.College of GeomaticsShandong University of Science and TechnologyQingdaoChina
  2. 2.State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and TechnologyShandong University of Science and TechnologyQingdaoChina
  3. 3.Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan ProvinceChangsha University of Science & TechnologyChangshaChina
  4. 4.Department of Geoscience and Remote SensingDelft University of TechnologyDelftThe Netherlands
  5. 5.Chinese Academy of Surveying and MappingBeijingChina

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