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Proceedings Paper

Vibration model identification using the maximum likelihood method
Author(s): Pedro Escárate; María Coronel; Karen González; Rodrigo Carvajal; Juan C. Agüero
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Paper Abstract

Vibration effects acting in the science light path reduce the performance of the adaptive optics systems (AO). In order to mitigate the vibration effects and to improve the performance of the AO systems, an adequate model for the vibration in necessary. Traditionally, those vibrations are modelled as oscillators (with or without damping) driven by white noise. In this work, we address the identification of a continuous-time oscillator from discrete-time samples of the position. To this end, we use Maximum Likelihood estimation method to estimate the vibrations frequency.

Paper Details

Date Published: 11 July 2018
PDF: 6 pages
Proc. SPIE 10703, Adaptive Optics Systems VI, 107036R (11 July 2018); doi: 10.1117/12.2314080
Show Author Affiliations
Pedro Escárate, Large Binocular Telescope Observatory (United States)
Núcleo Milenio Formación Planetaria (Chile)
Univ. Austral de Chile (Chile)
María Coronel, Univ. Técnica Federico Santa María (Chile)
Univ. de los Andes (Venezuela)
Karen González, Univ. Técnica Federico Santa María (Chile)
Rodrigo Carvajal, Univ. Técnica Federico Santa María (Chile)
Juan C. Agüero, Univ. Técnica Federico Santa María (Chile)


Published in SPIE Proceedings Vol. 10703:
Adaptive Optics Systems VI
Laird M. Close; Laura Schreiber; Dirk Schmidt, Editor(s)

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