Adaptive wavefront control algorithms for closed loop adaptive optics
TLDR
This paper presents a method for adaptively optimizing the reconstructor of a closed-loop AO system in real time that relies on recursive least squares techniques to track the temporal and spatial correlations of the turbulent wave-front.About:
This article is published in Mathematical and Computer Modelling.The article was published on 2001-01-01 and is currently open access. It has received 22 citations till now. The article focuses on the topics: Adaptive control & Adaptive algorithm.read more
Citations
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Journal ArticleDOI
Optimal control law for classical and multiconjugate adaptive optics.
Brice Le Roux,Jean-Marc Conan,Caroline Kulcsár,Henri-François Raynaud,Laurent M. Mugnier,Thierry Fusco +5 more
TL;DR: An optimal closed-loop control law that accounts for both spatial and temporal statistics is proposed and demonstrated through MCAO numerical simulations representative of astronomical observation on a 8-m-class telescope in the near infrared.
Journal ArticleDOI
Optimal control for Multi-Conjugate Adaptive Optics
Cyril Petit,Jean-Marc Conan,Caroline Kulcsár,Henri-François Raynaud,Thierry Fusco,J. Montri,Didier Rabaud +6 more
TL;DR: Petit et al. as discussed by the authors presented the concepts behind optimal control for wide field adaptive optics (AO) and the advantages compared to more standard AO approaches are stressed, and a first experimental validation is presented.
Journal ArticleDOI
Atmospheric Turbulence Degraded-Image Restoration by Kurtosis Minimization
Dalong Li,Steven J. Simske +1 more
TL;DR: This observation has been studied using phase correlation and the KM method is compared with two other signal processing methods and the limitation of the method is discussed.
Dissertation
Commande optimale en optique adaptative classique et multiconjuguée
TL;DR: In this paper, the authors propose an approach based on an estimation of the phase turbulente par filtrage de Kalman suivie d'une commande par retour d'etat.
Data-Driven Optimal Control for Adaptive Optics
TL;DR: In this article, a data-driven optimal control strategy for adaptive optics (AO) systems is proposed, which consists of a dedicated subspace-identification algorithm to identify an atmospheric disturbance model from open-loop sensor data, followed by an optimal control design.
References
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Journal ArticleDOI
Least-square fitting a wave-front distortion estimate to an array of phase-difference measurements
TL;DR: In this article, the problem of fitting a wavefront distortion estimate to a (single-instant) set of phase-difference measurements has been formulated as an unweighted least-square problem.
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Anisoplanatism in adaptive optics
TL;DR: In this article, the effect of turbulence-induced wavefront distortion for two propagation paths with only slightly different propagation directions can be significantly different, and the implications of this fact for a compensated imaging system and for an adaptive-optics laser transmitter are examined.
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Wave-front reconstruction for compensated imaging
TL;DR: In this paper, the authors analyzed the conversion from phase differences to phases and derived the optimal linear estimator in terms of least noise propagation for a compensated imaging (CI) system.
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Optimal wave-front correction using slope measurements
TL;DR: In this article, a more realistic model of the wave-front measurements is used, and wave estimation and correction are analyzed as a unified process rather than being treated as separate and independent processes.
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First-order performance evaluation of adaptive-optics systems for atmospheric-turbulence compensation in extended-field-of-view astronomical telescopes.
TL;DR: In this paper, the performance of a closed-loop adaptive-optics system that is employed with an astronomical telescope is evaluated in terms of residual mean-square phase distortion and the associated optical transfer function.