The ESA space-astrometry mission Hipparcos will provide a uniform and high-precision stellar catalogue of the whole sky. The data processing requires that the star coordinates in-the telescope focal plane be transformed into a common inertial reference frame. To correctly perform this transformation, the satellite three-axes attitude must be reconstituted within a specified accuracy (rms error of less than 0.1 arcsec on each angle) for the mission lifetime, by processing the data of the on-board attitude sensors: star mapper and gyros. In this paper, after an overview of the Hipparcos mission, the attitude reconstitution is formulated as a Gauss-Markov estimation problem and solved by processing only star mapper data. The Gauss-Markov procedure takes advantage from a guaranteed error linear model describing the attitude evolution over the desired time interval.
High accuracy on-ground attitude reconstitution for the ESA astrometry mission Hipparcos / Donati, F.; Canuto, Enrico; Carlucci, D.; Villa, Agostino; Belforte, P.. - 5:(1985), pp. 2927-2932. (Intervento presentato al convegno 9th Triennial World Congress of IFAC tenutosi a Budapest (HUN) nel 2-6 July 1984).
High accuracy on-ground attitude reconstitution for the ESA astrometry mission Hipparcos
CANUTO, Enrico;VILLA, AGOSTINO;
1985
Abstract
The ESA space-astrometry mission Hipparcos will provide a uniform and high-precision stellar catalogue of the whole sky. The data processing requires that the star coordinates in-the telescope focal plane be transformed into a common inertial reference frame. To correctly perform this transformation, the satellite three-axes attitude must be reconstituted within a specified accuracy (rms error of less than 0.1 arcsec on each angle) for the mission lifetime, by processing the data of the on-board attitude sensors: star mapper and gyros. In this paper, after an overview of the Hipparcos mission, the attitude reconstitution is formulated as a Gauss-Markov estimation problem and solved by processing only star mapper data. The Gauss-Markov procedure takes advantage from a guaranteed error linear model describing the attitude evolution over the desired time interval.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1745416
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