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Calibration of atmospheric density model using two-line element data

Calibration of atmospheric density model using two-line element data Astrodynamics Vol. 2, No. 1, 13{24, 2018 https://doi.org/10.1007/s42064-017-0008-3 Yuan Ren (B), Jinjun Shan Department of Earth and Space Science and Engineering, York University, Toronto, M3J 1P3, Canada ABSTRACT KEYWORDS For satellites in orbits, most perturbations can be well modeled; however the inaccuracy of atmospheric density model the atmospheric density model remains the biggest error source in orbit determination and two-line element (TLE) prediction. The commonly used empirical atmospheric density models, such as Jacchia, NRLMSISE, DTM, and Russian GOST, still have a relative error of about 10%{30%. Because of the uncertainty in the atmospheric density distribution, high accuracy estimation of the atmospheric density cannot be achieved using a deterministic model. A better way to improve the accuracy is to calibrate the model with updated measurements. Two- line element (TLE) sets provide accessible orbital data, which can be used in the model calibration. In this paper, an algorithm for calibrating the atmospheric density model is developed. First, the density distribution of the atmosphere is represented by a power series expansion whose coecients are denoted by the spherical harmonic expansions. Then, the Research Article useful historical TLE data are selected. The ballistic coecients of the objects are estimated Received: 05 December 2016 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Astrodynamics Springer Journals

Calibration of atmospheric density model using two-line element data

Astrodynamics , Volume 2 (1): 12 – Mar 1, 2018

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Publisher
Springer Journals
Copyright
2017 Chinese Society of Theoretical and Applied Mechanics and Tsinghua University Press and Springer Nature Singapore Pte Ltd.
ISSN
2522-008X
eISSN
2522-0098
DOI
10.1007/s42064-017-0008-3
Publisher site
See Article on Publisher Site

Abstract

Astrodynamics Vol. 2, No. 1, 13{24, 2018 https://doi.org/10.1007/s42064-017-0008-3 Yuan Ren (B), Jinjun Shan Department of Earth and Space Science and Engineering, York University, Toronto, M3J 1P3, Canada ABSTRACT KEYWORDS For satellites in orbits, most perturbations can be well modeled; however the inaccuracy of atmospheric density model the atmospheric density model remains the biggest error source in orbit determination and two-line element (TLE) prediction. The commonly used empirical atmospheric density models, such as Jacchia, NRLMSISE, DTM, and Russian GOST, still have a relative error of about 10%{30%. Because of the uncertainty in the atmospheric density distribution, high accuracy estimation of the atmospheric density cannot be achieved using a deterministic model. A better way to improve the accuracy is to calibrate the model with updated measurements. Two- line element (TLE) sets provide accessible orbital data, which can be used in the model calibration. In this paper, an algorithm for calibrating the atmospheric density model is developed. First, the density distribution of the atmosphere is represented by a power series expansion whose coecients are denoted by the spherical harmonic expansions. Then, the Research Article useful historical TLE data are selected. The ballistic coecients of the objects are estimated Received: 05 December 2016

Journal

AstrodynamicsSpringer Journals

Published: Mar 1, 2018

References