This paper uses wave-optics and signal-to-noise models to explore the
estimation accuracy of digital-holographic detection in the off-axis
pupil plane recording geometry for deep-turbulence wavefront sensing.
In turn, the analysis examines three important parameters: the number
of pixels across the width of the focal-plane array, the window radius
in the Fourier plane, and the signal-to-noise ratio. By varying these
parameters, the wave-optics and signal-to-noise models quantify
performance via a metric referred to as the field-estimated Strehl
ratio, and the analysis leads to a method for optimal windowing of the
turbulence-limited point spread function. Altogether, the results will
allow future research efforts to assess the number of pixels, pixel
size, pixel-well depth, and read-noise standard deviation needed from
a focal-plane array when using digital-holographic detection in the
off-axis pupil plane recording geometry for estimating the
complex-optical field when in the presence of deep turbulence and
© 2018 Optical Society of America
under the terms of the OSA Open Access
19 January 2018: A correction was made to the copyright.
OSA Recommended Articles
Equations on this page are rendered with MathJax. Learn more.