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

Wood, Christopher C.

Brossura

ISBN 10: 1288308264 ISBN 13: 9781288308262

Casa editrice: LIGHTNING SOURCE INC, 2012

Riassunto

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.

Dettagli dell'edizione

• Editore: LIGHTNING SOURCE INC
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1288308264
• ISBN 13: 9781288308262
• Rilegatura: Copertina flessibile
• Numero di pagine: 160
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile