Orbital error propagation considering atmospheric density uncertainty

Author:

Jiang Hao-Yang,Zhang Ming-Jiang,Wang Hong-Bo,Xiong Jian-Ning

Funder

National Natural Science Foundation of China

Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference31 articles.

1. Bonasera, S., Acciarini, G., Pérez-Hernández, J., Benson, B., Brown, E., Sutton, E., Jah, M.K., Bridges, C., Baydin, A.G., 2021. Dropout and ensemble networks for thermospheric density uncertainty estimation. In: Bayesian Deep Learning Workshop, NeurIPS 2021.

2. Uncertainty quantification of the dtm2020 thermosphere model;Boniface;J. Space Weather Space Clim.,2021

3. CIRA-2012 International Working Group, 2012. COSPAR International Reference Atmosphere 2012 (CIRA-2012) – Models of the Earth’s upper atmosphere. Technical report, The Committee on Space Research.

4. Entropy-based approach for uncertainty propagation of nonlinear dynamical systems;DeMars;J. Guid. Control Dyn.,2013

5. Denker, J., LeCun, Y., 1990. Transforming neural-net output levels to probability distributions. In: Proceedings of the 3rd International Conference on Neural Information Processing Systems, pp. 853–859.

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