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

Wood, Christopher C

Hardcover

ISBN 10: 1025119312 ISBN 13: 9781025119311

Publisher: Hutson Street Press, 2025

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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Edition details

• Publisher: Hutson Street Press
• Publication date: 2025
• Language: English
• ISBN 10: 1025119312
• ISBN 13: 9781025119311
• Binding: Hardcover
• Number of pages: 158