Comparative analysis of numerical simulation techniques for incoherent imaging of extended objects through atmospheric turbulence

Svetlana L. Lachinova; Mikhail A. Vorontsov; Grigorii A. Filimonov; Daniel A. LeMaster; Matthew E. Trippel

doi:10.1117/1.OE.56.7.071509

13 May 2017 Comparative analysis of numerical simulation techniques for incoherent imaging of extended objects through atmospheric turbulence

Svetlana L. Lachinova, Mikhail A. Vorontsov, Grigorii A. Filimonov, Daniel A. LeMaster, Matthew E. Trippel

Author Affiliations +

Funded by: Air Force Research Laboratory (AFRL), US Department of Defense, DOD | Air Force Office of Scientific Research (AFOSR), Air Force Office of Scientific Research (AFOSR) Multidisciplinary Research Program of the University Research Initiative (MURI)

Optical Engineering, Vol. 56, Issue 7, 071509 (May 2017). https://doi.org/10.1117/1.OE.56.7.071509

Abstract

Computational efficiency and accuracy of wave-optics-based Monte–Carlo and brightness function numerical simulation techniques for incoherent imaging of extended objects through atmospheric turbulence are evaluated. Simulation results are compared with theoretical estimates based on known analytical solutions for the modulation transfer function of an imaging system and the long-exposure image of a Gaussian-shaped incoherent light source. It is shown that the accuracy of both techniques is comparable over the wide range of path lengths and atmospheric turbulence conditions, whereas the brightness function technique is advantageous in terms of the computational speed.

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Svetlana L. Lachinova, Mikhail A. Vorontsov, Grigorii A. Filimonov, Daniel A. LeMaster, and Matthew E. Trippel "Comparative analysis of numerical simulation techniques for incoherent imaging of extended objects through atmospheric turbulence," Optical Engineering 56(7), 071509 (13 May 2017). https://doi.org/10.1117/1.OE.56.7.071509

Received: 16 November 2016; Accepted: 17 April 2017; Published: 13 May 2017

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