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Proceedings Paper

Low-order wave front sensor deconvolution signal-to-noise ratio
Author(s): David Charles Dayton; Steven C. Sandven; John D. Gonglewski
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Paper Abstract

Wave-Front Sensor Deconvolution is a computer post processing technique that uses wave- front sensor information to correct for the effect of atmospheric turbulence. An approximate analytic expression for the signal to noise ratio (SNR) of the technique has been derived for the full order case of one or more Hartmann sub-apertures per r0. This expression is not valid for cases of fewer than one sub-aperture per r0. In these cases wave-front simulation can be used to numerically evaluate an SNR.

Paper Details

Date Published: 9 November 1993
PDF: 8 pages
Proc. SPIE 2029, Digital Image Recovery and Synthesis II, (9 November 1993); doi: 10.1117/12.162012
Show Author Affiliations
David Charles Dayton, Applied Technology Associates, Inc. (United States)
Steven C. Sandven, Applied Technology Associates, Inc. (United States)
John D. Gonglewski, Air Force Phillips Lab. (United States)

Published in SPIE Proceedings Vol. 2029:
Digital Image Recovery and Synthesis II
Paul S. Idell, Editor(s)

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