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

Wood, Christopher C

Softcover

ISBN 10: 1288308264 ISBN 13: 9781288308262

Publisher: Biblioscholar, 2012

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.

Edition details

• Publisher: Biblioscholar
• Publication date: 2012
• Language: English
• ISBN 10: 1288308264
• ISBN 13: 9781288308262
• Binding: Paperback
• Number of pages: 160