Parallel perturbation gradient descent algorithm for adaptive wavefront correction

Gary W. Carhart; Jennifer C. Ricklin; Victor P. Sivokon; Mikhail A. Vorontsov

doi:10.1117/12.279040

17 October 1997 Parallel perturbation gradient descent algorithm for adaptive wavefront correction

Gary W. Carhart, Jennifer C. Ricklin, Victor P. Sivokon, Mikhail A. Vorontsov

Proceedings Volume 3126, Adaptive Optics and Applications; (1997) https://doi.org/10.1117/12.279040
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Gary W. Carhart, Jennifer C. Ricklin, Victor P. Sivokon, and Mikhail A. Vorontsov "Parallel perturbation gradient descent algorithm for adaptive wavefront correction", Proc. SPIE 3126, Adaptive Optics and Applications, (17 October 1997); https://doi.org/10.1117/12.279040

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