Deep-turbulence wavefront sensing using digital holography in the on-axis phase shifting recording geometry

Douglas E. Thornton; Mark F. Spencer; Glen P. Perram

doi:10.1117/12.2273979

8 September 2017 Deep-turbulence wavefront sensing using digital holography in the on-axis phase shifting recording geometry

Douglas E. Thornton, Mark F. Spencer, Glen P. Perram

Author Affiliations +

Proceedings Volume 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017; 1041004 (2017) https://doi.org/10.1117/12.2273979
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

The effects of deep turbulence in long-range imaging applications presents unique challenges to properly measure and correct for aberrations incurred along the atmospheric path. In practice, digital holography can detect the path-integrated wavefront distortions caused by deep turbulence, and di erent recording geometries offer different benefits depending on the application of interest. Previous studies have evaluated the performance of the off-axis image and pupil plane recording geometries for deep-turbulence sensing. This study models digital holography in the on-axis phase shifting recording geometry using wave optics simulations. In particular, the analysis models spherical-wave propagation through varying deep-turbulence conditions to estimate the complex optical field, and performance is evaluated by calculating the field-estimated Strehl ratio and RMS wavefront error. Altogether, the results show that digital holography in the on-axis phase shifting recording geometry is an effective wavefront-sensing method in the presence of deep turbulence.

Conference Presentation

Citation Download Citation

Douglas E. Thornton, Mark F. Spencer, and Glen P. Perram "Deep-turbulence wavefront sensing using digital holography in the on-axis phase shifting recording geometry", Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 1041004 (8 September 2017); https://doi.org/10.1117/12.2273979

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