28 June 2006 Adaptive optics control of wind blown turbulence via translation and prediction
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Abstract
In the case where wind blown turbulence is mostly adhering to frozen flow conditions the use of the Kalman Filter in an adaptive optics controller is of interest because it incorporates prior the time history of wavefront measurements as additional information to be combined with the immediate measurement of the wavefront. In prior work we have shown that indeed there is a signal to noise advantage, however the extra real-time overhead of the Kalman Filter computations can become prohibitive for larger aperture systems. In this paper we investigate a Fourier domain implementation that might approximate, and gain the advantages of, the Kalman Filter while being feasible to implement in real time control computers. Most of the advantage of using the Kalman Filter comes from its ability to predict the wind blown turbulence for the next measurement step. For the photonic and instrumentation noise levels commonly found in astronomical AO systems, we find that most of the Strehl gain is achieved by simply translating the wavefront estimate the incremental distance.
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Donald Wiberg, Donald Wiberg, Luke Johnson, Luke Johnson, Donald Gavel, Donald Gavel, } "Adaptive optics control of wind blown turbulence via translation and prediction", Proc. SPIE 6272, Advances in Adaptive Optics II, 62722X (28 June 2006); doi: 10.1117/12.672420; https://doi.org/10.1117/12.672420
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