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Více informací o knize Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Society & social sciences Education

• Plný název: Multi-Dimensional Wave Front Sensing Algorithms for Embedded Tracking and Adaptive Optics Applications
• Autor: Christopher C Wood
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 160
• EAN: 9781288308262
• ISBN: 9781288308262
• ID: 08242723
• Nakladatelství: Biblioscholar
• Hmotnost: 299 g
• Rozměry: 246 × 189 × 9 mm
• Datum vydání: 16. November 2012

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