The challenge of precise orbit determination for STSAT-2C using extremely sparse SLR data

Kim, Young-Rok; Park, Eunseo; Kucharski, D.; Lim, Hyung-Chul; Kim, Byoungsoo

doi:10.1016/j.asr.2015.12.031

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…First of all, we try to use only ZHU1 station to determine the orbit of TianQin detectors. Due to limited observation data [51], the orbit accuracy is in the order of 100 km. Using ZHU1 station and KUN2 station, the result of orbit determination is on the order of 10 000 m. The Only the Schwarzschild orbit location accuracy of the three stations is at the level of 1000 m, which cannot meet the requirements of TianQin detectors for orbit determination accuracy.…”

Section: Resultsmentioning

confidence: 99%

Simulation and accuracy analysis of orbit determination for TianQin using SLR data

An¹,

Shao²,

Gu³

et al. 2022

Class. Quantum Grav.

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TianQin project is a space gravitational wave detection project initiated by Sun Yat-sen University. It has high requirements for detectors's orbit accuracy in the stages of orbit entry and scientific experiment operation. We obtain the different combinations of radial position errors and along-track velocity errors after analyzing the detectors orbit errors according to the stability requirements of TianQin constellation. Satellite laser ranging (SLR) is the space geodetic technique with the highest accuracy of range measurement, which is a commonly used method for satellite orbit determination. This paper uses the simulated SLR data to determinate the precise orbit of TianQin detectors. We examine how the number of stations, the distribution of stations, and the measurement errors affect the SLR-only orbit determination accuracy. The results demonstrate that: 1) For the 7 days solution with 1 cm random errors and 0.5 cm systematic errors of SLR simulations, the average orbit determination accuracy of TianQin detectors is increasing from 27.37 m when using 5 Chinese stations to 9.34 m when using 6 Chinese stations. 2) The orbit determination accuracy can be significantly improved by optimizing the distribution of stations, which is increasing from 9.34 m for regional distribution to 1.75 m for global distribution when the number of stations is 6. 3) When employing 6 Chinese stations, each 1 cm of random errors results in a deterioration in position accuracy by 19% and in velocity accuracy by 23%, each 1 cm of systematic errors affects 14% for position accuracy and 15% for velocity accuracy, respectively. While the impact of measurement errors on the orbit determination accuracy is aggravated when using 6 global distribution stations, which are 35% and 33% of 1 cm random errors and 17% and 20% of 1 cm systematic errors, respectively.

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Section: Resultsmentioning

confidence: 99%

Simulation and accuracy analysis of orbit determination for TianQin using SLR data

An¹,

Shao²,

Gu³

et al. 2022

Class. Quantum Grav.

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“…The estimation of the atmospheric drag coefficient could be found with various intervals. The frequency of the estimation of the atmospheric drag coefficient affected the accuracy of the orbit estimation results [ 8 , 9 , 34 , 35 ]. The atmospheric drag coefficient was estimated at intervals of 1, 2, 8, 12, and 24 h in the research.…”

Section: Short-arc Orbit Estimation With the Optical Observation Dmentioning

confidence: 99%

“…Instead of a precise orbit estimation process, the short-arc, sparse data can be used to find initial orbit with uncorrelated targets [ 7 ]. Kim et al [ 8 ] have described that unscented transformation and a particle filter can be suggested to solve the sparse data problem. An atmospheric drag coefficient estimation with a varying time span was an alternative solution to this problem [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Optical Tracking Data Validation and Orbit Estimation for Sparse Observations of Satellites by the OWL-Net

Choi

Yim

et al. 2018

Sensors

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An Optical Wide-field patroL-Network (OWL-Net) has been developed for maintaining Korean low Earth orbit (LEO) satellites’ orbital ephemeris. The OWL-Net consists of five optical tracking stations. Brightness signals of reflected sunlight of the targets were detected by a charged coupled device (CCD). A chopper system was adopted for fast astrometric data sampling, maximum 50 Hz, within a short observation time. The astrometric accuracy of the optical observation data was validated with precise orbital ephemeris such as Consolidated Prediction File (CPF) data and precise orbit determination result with onboard Global Positioning System (GPS) data from the target satellite. In the optical observation simulation of the OWL-Net for 2017, an average observation span for a single arc of 11 LEO observation targets was about 5 min, while an average optical observation separation time was 5 h. We estimated the position and velocity with an atmospheric drag coefficient of LEO observation targets using a sequential-batch orbit estimation technique after multi-arc batch orbit estimation. Post-fit residuals for the multi-arc batch orbit estimation and sequential-batch orbit estimation were analyzed for the optical measurements and reference orbit (CPF and GPS data). The post-fit residuals with reference show few tens-of-meters errors for in-track direction for multi-arc batch and sequential-batch orbit estimation results.

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“…Whereas, as illustrated in Table 1, the number of GNSS observations surpasses the number of SLR observations substantially. Employing a long-term arc (Kim et al, 2016;Yang et al, 2021) or assigning appropriate weightage to SLR observations (Bury, Sośnica, Zajdel, Strugarek, & Hugentobler, 2020;Urschl et al, 2007) aids in augmenting the inŕuence of SLR observations. However, improper weighting strategy in the POD can result in substantial errors due to parts of low-quality SLR observations, necessitating cautious handling of the weighting strategy.…”

Section: Introductionmentioning

confidence: 99%

Determination of Precise Galileo and Sentinel-6A Orbits through the Integration of GNSS and SLR Data

Jiang,

Cui,

Chen

et al. 2024

Preprint

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Both Galileo and Sentinel-6A satellites are equipped with GNSS and SLR observation capabilities, which shows the potential to improve the orbits by combining both GNSS and SLR data. In this study, Galileo and Sentinel-6A satellites reduced dynamic orbits were determined by integrating GNSS and SLR data at the observation level, where two weighting strategies and the impact of SLR data on the final orbits were assessed. Data over 300 days were adopted in the experiments. It is found that the 3D RMS between dynamic and kinematic orbits for Sentinel-6A during the satellite maneuvers on DOY 173 is reduced by 10\%, which indicate the SLR data could bring a significant improvement to the dynamic Sentinel-6A orbits when satellite maneuvers. Moreover, in comparison to GNSS-only solutions, the adoption of the dynamic weighting strategy during orbital maneuvers has demonstrated a decrease in SLR residuals STD values by 9\% to 46\%. The results also show that introducing the SLR data can lead to a reduction of approximately 5\% in the averaged overlapping RMS for Galileo satellites. Nonetheless, the integration of SLR observations could enhance the accuracy and reliability of both Galileo and Sentinel-6A orbits, especially during orbital maneuvers.

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The challenge of precise orbit determination for STSAT-2C using extremely sparse SLR data

Cited by 7 publications

References 22 publications

Simulation and accuracy analysis of orbit determination for TianQin using SLR data

Simulation and accuracy analysis of orbit determination for TianQin using SLR data

Optical Tracking Data Validation and Orbit Estimation for Sparse Observations of Satellites by the OWL-Net

Determination of Precise Galileo and Sentinel-6A Orbits through the Integration of GNSS and SLR Data

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