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17 April 2020 Frozen-flow atmosphere wind velocity estimation using a Shack-Hartmann wavefront sensor
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Abstract
High-resolution Wavefront reconstruction using the frozen-flow hypothesis requires the wind velocities of all significant layers of turbulence in the atmosphere, which can be estimated from the time-delayed autocorrelation of the wavefront sensor (WFS) measurements. In this paper, we present a method to estimate the wind velocities of the frozen-flow atmospheric turbulence layers using the slope measurements of a Shack-Hartmann WFS. This method is tested by simulation experiments and the simulation results show that our method is efficient and the error is acceptable.
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Zhilei Ren, Zhitao Chen, Jin Liu, and Yonghui Liang "Frozen-flow atmosphere wind velocity estimation using a Shack-Hartmann wavefront sensor", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 114553L (17 April 2020); https://doi.org/10.1117/12.2564669
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