Chinese Optics Letters, Volume. 23, Issue 2, 020101(2025)
Atmospheric turbulence time-evolving modeling using spatio-temporal fractal nature [Invited]
Fig. 1. Modification of spatial interpolation algorithm; left: origin, right: after modification. (a) PS after 5 iterations of interpolation for Δr = 0.3125 mm and r0 = 0.1 m (64π initial phase has been added in the red box area). (b) Ratio between the mean SF Dϕ (ρ)
Fig. 2. Schematic illustration of spatial interpolation. {m′, n′} are grid coordinates, and Δr is the grid spacing. (The solid circles are from the initial PS, the shaded circles are interpolated first, and then the dotted circles are interpolated.)
Fig. 3. Bases and coefficients of time-evolving PSs. (a) Complete orthogonal bases Ui of the 8 × 8 grid. (b) Temporal PSDs of different coefficients. (c) Time sequence of different coefficients for the 32 × 32 grid, V = 5 m/s, r0 = 0.1 m, and Δr = 0.01 m.
Fig. 4. Spatial characteristics of PSs. (a) Spatial interpolation process of the PS: (a1) initial PS, (a2)–(a5) 1 iteration, 2 iterations, 3 iterations, and 4 iterations. (b), (c) Ratio between the mean SF Dϕ (ρ)
Fig. 5. Temporal characteristics of PSs, V = 5 m/s, r0 = 0.1 m. (a1)–(a6) Time-evolving PS before temporal interpolation, Δt = 2 ms. (b1)–(b6) Time-evolving PS after temporal interpolation, Δt = 0.5 ms. (c)–(e) Mean temporal PSDs of 103 sets of interpolated time-evolving PS sequences. (c) Different iterations of spatial interpolation. (d) Different iterations of temporal interpolation. (e) Simultaneous temporal and spatial interpolation. Is and It are the iterations of spatial and temporal interpolation, respectively.
Fig. 6. The comparison between our method and existing methods. (a) The comparison of deviations from SF theoretical value. (b) The comparison of the temporal PSD when the crosswind is 5 m/s.
Fig. 7. The AoA temporal power spectrum in the 460 m atmospheric turbulence channel with r0 = 3.7 cm. (a) The field-test results[47]. (b) Our simulation results.
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Haiyang Fu, Fangxiang Wang, Wei Chen, Shuang Wang, Deyong He, Zhenqiang Yin, Zhengfu Han, "Atmospheric turbulence time-evolving modeling using spatio-temporal fractal nature [Invited]," Chin. Opt. Lett. 23, 020101 (2025)
Category: Atmospheric, Oceanic, Space, and Environmental Optics
Received: Mar. 30, 2024
Accepted: Aug. 8, 2024
Published Online: Mar. 6, 2025
The Author Email: Fangxiang Wang (fxwung@ustc.edu.cn), Wei Chen (weich@ustc.edu.cn), Shuang Wang (wshuang@ustc.edu.cn)