Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients

• URL: http://arxiv.org/abs/2004.11210v2
• Date: Tue, 23 Jun 2020 03:03:08 GMT
• Title: Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients
• Authors: Nicholas Chimitt and Stanley H. Chan
• Abstract summary: We present a propagation-free method for simulating imaging through turbulence. We propose a new method to draw inter-modal and spatially correlated Zernike coefficients. Experimental results show that the simulator has an excellent match with the theory and real turbulence data.
• Score: 15.904420927818201
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Simulating atmospheric turbulence is an essential task for evaluating turbulence mitigation algorithms and training learning-based methods. Advanced numerical simulators for atmospheric turbulence are available, but they require evaluating wave propagation which is computationally expensive. In this paper, we present a propagation-free method for simulating imaging through turbulence. The key idea behind our work is a new method to draw inter-modal and spatially correlated Zernike coefficients. By establishing the equivalence between the angle-of-arrival correlation by Basu, McCrae and Fiorino (2015) and the multi-aperture correlation by Chanan (1992), we show that the Zernike coefficients can be drawn according to a covariance matrix defining the correlations. We propose fast and scalable sampling strategies to draw these samples. The new method allows us to compress the wave propagation problem into a sampling problem, hence making the new simulator significantly faster than existing ones. Experimental results show that the simulator has an excellent match with the theory and real turbulence data.

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