NDLI: Adaptive wavefront control with asynchronous stochastic parallel gradient descent clusters.

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Adaptive wavefront control with asynchronous stochastic parallel gradient descent clusters.

Content Provider	Semantic Scholar
Author	Vorontsov, M. A. Carhart, Gary W.
Copyright Year	2006
Abstract	A scalable adaptive optics (AO) control system architecture composed of asynchronous control clusters based on the stochastic parallel gradient descent (SPGD) optimization technique is discussed. It is shown that subdivision of the control channels into asynchronous SPGD clusters improves the AO system performance by better utilizing individual and/or group characteristics of adaptive system components. Results of numerical simulations are presented for two different adaptive receiver systems based on asynchronous SPGD clusters-one with a single deformable mirror with Zernike response functions and a second with tip-tilt and segmented wavefront correctors. We also discuss adaptive wavefront control based on asynchronous parallel optimization of several local performance metrics-a control architecture referred to as distributed adaptive optics (DAO). Analysis of the DAO system architecture demonstrated the potential for significant increase of the adaptation process convergence rate that occurs due to partial decoupling of the system control clusters optimizing individual performance metrics.
File Format	PDF HTM / HTML
DOI	10.1364/JOSAA.23.002613
PubMed reference number	16985545
Journal	Medline
Volume Number	23
Issue Number	10
Alternate Webpage(s)	http://www.jhuapl.edu/SPSA/PDF-SPSA/Vorontsov_Carhart_JOSA-A06.pdf
Alternate Webpage(s)	https://doi.org/10.1364/JOSAA.23.002613
Journal	Journal of the Optical Society of America. A, Optics, image science, and vision
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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