Atmospheric Turbulence Random Phase Screen Implementation with MATLAB

This article explores how to implement atmospheric turbulence random phase screens using MATLAB to achieve more accurate atmospheric variation simulations. The implementation builds upon Fourier transform techniques, which serve as the foundation for generating realistic phase screens. We introduce low-frequency subharmonic compensation to address spectral gaps in conventional methods, significantly improving simulation fidelity. The core algorithm involves generating random phase screens through inverse Fourier transforms of turbulence power spectra, with key functions including fft2() for spectral domain processing and specialized harmonic compensation loops. These techniques enhance atmospheric turbulence modeling precision, enabling better understanding of atmospheric dynamics and influencing factors. Through this guide, you'll learn practical MATLAB implementation approaches including spectral sampling strategies, phase screen initialization methods, and compensation algorithm integration. The content covers essential concepts like Kolmogorov turbulence statistics, phase screen parameterization, and validation techniques. Ultimately, you'll be able to create accurate atmospheric turbulence simulations and analyze atmospheric variations using these advanced computational methods.