Evaluation of centroiding algorithms for an autonomous star tracker
Abstract
This work presents numerical results of a computer simulation 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.
Keywords
Cite
@article{arxiv.2507.17560,
title = {Evaluation of centroiding algorithms for an autonomous star tracker},
author = {Marcio Afonso Arimura Fialho},
journal= {arXiv preprint arXiv:2507.17560},
year = {2025}
}
Comments
Original version of the manuscript submitted to EPJ-ST (https://link.springer.com/journal/11734) for possible publication, except for the inclusion of the following notice "This is also a preprint, before peer-review, of a paper submitted to EPJ-ST for possible publication." in the Notice section, just before the Introduction