We 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 controller 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 simulations using on-sky data that show significant Strehl increases from using this controller in realistic atmospheric conditions.
© 2011 Optical Society of America
Atmospheric and Oceanic Optics
Original Manuscript: November 3, 2010
Revised Manuscript: March 28, 2011
Manuscript Accepted: May 22, 2011
Published: July 8, 2011
Luke C. Johnson, Donald T. Gavel, and Donald M. Wiberg, "Bulk wind estimation and prediction for adaptive optics control systems," J. Opt. Soc. Am. A 28, 1566-1577 (2011)