Frozen-flow atmosphere wind velocity estimation using a Shack-Hartmann wavefront sensor

Zhilei Ren; Zhitao Chen; Jin Liu; Yonghui Liang

doi:10.1117/12.2564669

17 April 2020 Frozen-flow atmosphere wind velocity estimation using a Shack-Hartmann wavefront sensor

Zhilei Ren, Zhitao Chen, Jin Liu, Yonghui Liang

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 114553L (2020) https://doi.org/10.1117/12.2564669
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

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.

Citation Download Citation

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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