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Proceedings Paper

Parallel perturbation gradient descent algorithm for adaptive wavefront correction
Author(s): Gary W. Carhart; Jennifer C. Ricklin; Victor P. Sivokon; Mikhail A. Vorontsov
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Paper Abstract

An adaptive imaging system with a liquid crystal phase modulator having 127 individually addressed hexagonal elements is experimentally studied. The system operation is based on direct optimization of an image quality metric dependent on image plane intensity distribution. For optimization of the image quality metric we applied a modified version of a stochastic perturbation gradient descent algorithm. Experimental results demonstrated the efficiency of the algorithm for high- resolution adaptive wavefront correction in an imaging system. A modification of the algorithm that significantly accelerates algorithm convergence is suggested and studied by numerical simulation.

Paper Details

Date Published: 17 October 1997
PDF: 7 pages
Proc. SPIE 3126, Adaptive Optics and Applications, (17 October 1997); doi: 10.1117/12.279040
Show Author Affiliations
Gary W. Carhart, New Mexico State Univ. (United States)
Jennifer C. Ricklin, Army Research Lab. (United States)
Victor P. Sivokon, New Mexico State Univ. (United States)
Mikhail A. Vorontsov, Army Research Lab. and New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 3126:
Adaptive Optics and Applications
Robert K. Tyson; Robert Q. Fugate, Editor(s)

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