
Proceedings Paper
Deep-turbulence wavefront sensing using digital holography in the on-axis phase shifting recording geometryFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 8 September 2017
PDF: 13 pages
Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 1041004 (8 September 2017); doi: 10.1117/12.2273979
Published in SPIE Proceedings Vol. 10410:
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
Jean J. Dolne; Rick P. Millane, Editor(s)
PDF: 13 pages
Proc. SPIE 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 1041004 (8 September 2017); doi: 10.1117/12.2273979
Show Author Affiliations
Douglas E. Thornton, Air Force Insititute of Technology (United States)
Mark F. Spencer, Air Force Research Lab. (United States)
Air Force Institute of Technology (United States)
Mark F. Spencer, Air Force Research Lab. (United States)
Air Force Institute of Technology (United States)
Glen P. Perram, Air Force Insititute of Technology (United States)
Published in SPIE Proceedings Vol. 10410:
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
Jean J. Dolne; Rick P. Millane, Editor(s)
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