Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications - Couverture souple

Wood, Christopher C

 
9781288308262: Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications

Synopsis

Current tracking and adaptive optics techniques cannot compensate for fastmoving extended objects, which is important for ground-based telescopes providing space situational awareness. To fill this need, a vector-projection maximum-likelihood wave-front sensing algorithm development and testing follows for this application. A derivation and simplification of the Cramer-Rao Lower Bound for wave-front sensing using a laser guide star bounds the performance of these systems and guides implementation of a vastly optimized maximum-likelihood search algorithm. A complete analysis of the bias, mean square error, and variance of the algorithm demonstrates exceptional performance of the new sensor. A proof of concept implementation shows feasibility of deployment in modern adaptive optics systems. The vector-projection maximum-likelihood sensor satisfies the need for tracking and wave-front sensing of extended objects using current adaptive optics hardware designs.

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Autres éditions populaires du même titre

9781025119311: Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications

Edition présentée

ISBN 10 :  1025119312 ISBN 13 :  9781025119311
Editeur : Hutson Street Press, 2025
Couverture rigide