Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics

Details Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5490.1336l&link_type=abstract

Advancements in Adaptive Optics. Edited by Domenico B. Calia, Brent L. Ellerbroek, and Roberto Ragazzoni. Proceedings of the SPI

Physics

Optics

Scientific paper

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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