https://doi.org/10.1140/epjs/s11734-025-01917-0
Regular Article
Evaluation of centroiding algorithms for an autonomous star tracker
DIEEC, INPE, Av. Dos Astronautas, 1758, São José dos Campos, SP, Brazil
Received:
30
April
2025
Accepted:
1
September
2025
Published online:
10
September
2025
This work presents numerical results of computer simulations performed with six centroiding algorithms targeting a star tracker in development at INPE, including readout noise and considering a Gaussian point spread function. Five of the tested algorithms are light-weight centroiding algorithms with low computational costs. These were compared to a shape fitting algorithm based on the lsqnonlin function available in MATLAB and GNU Octave. The algorithms studied here are also applicable for astrometry and adaptive optics.
This is an extended and revised version of a work previously presented as a poster (CBDO 087-A) in CBDO-2024 (XXII Brazilian Colloquium on Orbital Dynamics).
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjs/s11734-025-01917-0.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
