Atmospheric Turbulence Simulation Using Power Spectrum Inversion Method
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To achieve more accurate predictions of atmospheric turbulence, we employ the power spectrum inversion method for simulation. This approach relies on extensive mathematical computations, utilizing power spectral functions to characterize turbulence properties. By analyzing the power spectrum function, we can identify turbulence structural characteristics across various length scales and generate corresponding atmospheric turbulence simulations. The implementation typically involves discrete Fourier transforms and random phase generation to create turbulent phase screens. This method not only enhances our understanding of atmospheric turbulence dynamics but also provides significant application value in meteorological forecasting, flight control systems, and optical propagation studies through numerical modeling of turbulent media.
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