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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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 160. N° de réf. du vendeur 390047023
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. Print on Demand pp. 160. N° de réf. du vendeur 26390601456
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 160. N° de réf. du vendeur 18390601466
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Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Paperback or Softback. Etat : New. Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications. Book. N° de réf. du vendeur BBS-9781288308262
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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