Digital-holographic Detection in the Off-axis Pupil Plane Recording Geometry for Deep-turbulence Wavefront Sensing
Document Type
Article
Publication Date
1-18-2018
Abstract
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 detection noise. Abstract © OSA
Source Publication
Applied Optics
Recommended Citation
Matthias T. Banet, Mark F. Spencer, and Robert A. Raynor, "Digital-holographic detection in the off-axis pupil plane recording geometry for deep-turbulence wavefront sensing," Appl. Opt. 57, 465-475 (2018)
Comments
© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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