Data-driven satellite orbit prediction using two-line elements

Author:

Thammawichai M.,Luangwilai T.ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science

Reference31 articles.

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2. Barton, K.E., McLaughlin, C.A., 2018. Long short term memory neural networks for the prediction of localized atmospheric density for orbit determination. In: Proc. 2018 AAS/AIAA Astrodyn. Spec. Conf..

3. Nonlinear programming. Theory and algorithms,2013

4. Bennett, J., Sang, J., Smith, C., Zhang, K., 2012. Improving low-Earth orbit predictions using two-line element data with bias correction. In: Advanced Maui Optical and Space Surveillance Technologies Conference, Vol. 1. p. 46.

5. Solution of the problem of artificial satellite theory without drag;Brouwer;Astron. J.,1959

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