Overview
ABSTRACT
Orbit determination is based on observations made by optical, radar or laser sensors. The measurements of angles, distances, radial or angular velocities are first corrected from geometrical, optical and atmospheric effects, then transformed into the geocentric reference frame. A preliminary orbit is assessed from three observations in order to initiate a differential correction process. The orbit estimate is updated in real time by filtering or in delayed mode by least squares. The article presents the observation systems, the measurement processing, the initial orbit determination and the orbit estimation by smoothing or filtering methods.
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Max CERF: Mission Analysis Engineer ArianeGroup, Les Mureaux, France
INTRODUCTION
Space-based positioning and observation applications require precise knowledge of satellite positions. A satellite's orbit evolves under the effect of numerous perturbations, and must be regularly re-estimated.
The first orbitography methods were developed for astronomy. They used optical observations without distance measurements. Notable successes included Halley's prediction in 1705 of the comet's return in 1758, and Gauss's calculation of the orbit of the asteroid Ceres, enabling it to be re-observed eleven months after its discovery in 1801.
From the 1950s onwards, observation systems underwent a major expansion. A satellite can be tracked by optical, radar or laser means, providing measurements of direction, distance and speed. The measurements are corrected for geometric, optical and atmospheric effects experienced by the electromagnetic signal on its path. A preliminary orbit is calculated from a reduced number of observations, then adjusted by differential correction. Least squares and filtering techniques are used to estimate orbital and dynamic model parameters. Observation of Sputnik I's orbit in 1957 enabled us to estimate the gravitational term J 2 related to terrestrial flattening. The proliferation of space debris is creating new needs. Surveillance systems such as SSN (Space Surveillance Network) or Graves (French radar system) and orbitography techniques are thus undergoing continuous improvement.
This article describes observation systems and measurement processing, then presents preliminary orbit calculation, least-squares smoothing and Kalman filtering estimation.
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KEYWORDS
filtering | least squares | optical sensor | differential correction
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