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7 February 2003 Optimal control law for multiconjugate adaptive optics
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We propose in this paper an optimal closed loop control law for multiconjugate adaptive optics (MCAO), based on a Kalman filter and a feedback control. The so-called open loop optimal phase reconstruction is recalled. It is based on a Maximum A Posteriori (MAP) approach. This approach takes into account wavefront sensing noise and also makes use of a turbulence profile model and Kolmogorov statistics. We propose a closed-loop modelization via a state-space representation. A Kalman filter is used for the phase reconstruction. This approach is a closed loop generalization of the MAP open loop estimator. It uses the same spatial prior in addition with a temporal model of the turbulence. Results are compared with the Optimized Modal Gain Integrator approach in the classical adaptive optics case and in an MCAO-like case.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brice Le Roux, Jean-Marc Conan, Caroline Kulcsar, Henri-Francois Raynaud, Laurent M. Mugnier, and Thierry Fusco "Optimal control law for multiconjugate adaptive optics", Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003);

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