Forecasting satellite trajectories by interpolating hybrid orbit propagators

  1. Pérez, I. 4
  2. San-Martín, M. 3
  3. López, R. 2
  4. Vergara, E.P. 4
  5. Wittig, A. 1
  6. San-Juan, J.F. 4
  1. 1 European Space Research and Technology Centre
    info

    European Space Research and Technology Centre

    Noordwijk-Binnen, Holanda

    ROR https://ror.org/03h3jqn23

  2. 2 Centro de Investigación Biomédica de La Rioja
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    Centro de Investigación Biomédica de La Rioja

    Logroño, España

    ROR https://ror.org/03vfjzd38

  3. 3 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  4. 4 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

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Revista:
Lecture Notes in Computer Science

ISSN: 0302-9743

Año de publicación: 2017

Volumen: 10334 LNCS

Páginas: 650-661

Tipo: Artículo

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DOI: 10.1007/978-3-319-59650-1_55 SCOPUS: 2-s2.0-85021773062 GOOGLE SCHOLAR

Otras publicaciones en: Lecture Notes in Computer Science

Resumen

A hybrid orbit propagator based on the analytical integration of the Kepler problem is designed to determine the future position and velocity of any orbiter, usually an artificial satellite or space debris fragment, in two steps: an initial approximation generated by means of an integration method, followed by a forecast of its error, determined by a prediction technique that models and reproduces the missing dynamics. In this study we analyze the effect of slightly changing the initial conditions for which a hybrid propagator was developed. We explore the possibility of generating a new hybrid propagator from others previously developed for nearby initial conditions. We find that the interpolation of the parameters of the prediction technique, which in this case is an additive Holt-Winters method, yields similarly accurate results to a non-interpolated hybrid propagator when modeling the J2 effect in the main problem propagation. © Springer International Publishing AG 2017.