25 October 2004 Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics
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Abstract
We first recall in this paper the optimal closed loop control law for multiconjugate adaptive optics [MCAO]. It is based on a Kalman filter and a feedback control. The prior model on which is based the Kalman filter is developped in a state-space representation and the differences in the model between Star Oriented [SO] MCAO and Layer Oriented [LO] MCAO are presented. This approach allows to take into account the wavefront sensing noise, the turbulence profil model, the Kolmogorov statistics and a temporal model of the turbulence. Simulation results are given in SO MCAO and the Kalman based approach is compared to the more standard Optimized Modal Gain Integrator [OMGI].
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Brice Le Roux, Roberto Ragazzoni, Carmelo Arcidiacono, Jean-Marc Conan, Caroline Kulcsar, and Henri-Francois Raynaud "Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics", Proc. SPIE 5490, Advancements in Adaptive Optics, (25 October 2004); doi: 10.1117/12.551422; https://doi.org/10.1117/12.551422
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