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dc.contributor.authorJohnson, Luke C.
dc.contributor.authorGavel, Donald T.
dc.contributor.authorWiberg, Donald M.
dc.date.accessioned2017-03-27T23:29:50Z
dc.date.available2017-03-27T23:29:50Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10945/52402
dc.descriptionJournal of the Optical Society of America Aen_US
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.1364/josaa.28.001566en_US
dc.description.abstractWe present a wind-predictive controller for astronomical adaptive optics (AO) systems that is able to predict the motion of a single windblown layer in the presence of other, more slowly varying phase aberrations. This con- troller relies on fast, gradient-based optical flow estimation to identify the velocity of the translating layer and a recursive mean estimator to account for turbulence that varies on a time scale much slower than the operating speed of the AO loop. We derive the Cramer–Rao lower bound for the wind estimation problem and show that the proposed estimator is very close to achieving theoretical minimum-variance performance. We also present simu- lations using on-sky data that show significant Strehl increases from using this controller in realistic atmospheric conditions.en_US
dc.description.sponsorshipFunded by Naval Postgraduate Schoolen_US
dc.description.sponsorshipResearch funded by National Science Foundation Science (NSF) (AST 9876783) | Funded by Naval Postgraduate Schoolen_US
dc.description.sponsorshipNaval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleBulk wind estimation and prediction for adaptive optics control systemsen_US
dc.typeArticleen_US


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