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Proceedings Paper

Sparse-matrix wavefront reconstruction: simulations and experiments
Author(s): Fang Shi; Douglas G. MacMartin; Mitchell Troy; Gary L. Brack; Rick S. Burruss; Richard G. Dekany
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Paper Abstract

Adaptive optics systems with Shack-Hartmann wavefront sensors require reconstruction of the atmospheric phase error from subaperture slope measurements, with every sensor in the array being used in the computation of each actuator command. This fully populated reconstruction matrix can result in a significant computational burden for adaptive optics systems with large numbers of actuators. A method for generating sparse wavefront reconstruction matrices for adaptive optics is proposed. The method exploits the relevance of nearby subaperture slope measurements for control of an individual actuator, and relies upon the limited extent of the influence function for a zonal deformable mirror. Relying only on nearby sensor information can significantly reduce the calculation time for wavefront reconstruction. In addition, a hierarchic controller is proposed to recover some of the global wavefront information. The performance of these sparse wavefront reconstruction matrices was evaluated in simulation, and tested on the Palomar Adaptive Optics System. This paper presents some initial results from the simulations and experiments.

Paper Details

Date Published: 7 February 2003
PDF: 10 pages
Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003); doi: 10.1117/12.457134
Show Author Affiliations
Fang Shi, Jet Propulsion Lab. (United States)
Douglas G. MacMartin, California Institute of Technology (United States)
Mitchell Troy, Jet Propulsion Lab. (United States)
Gary L. Brack, Jet Propulsion Lab. (United States)
Rick S. Burruss, Palomar Observatory (United States)
Richard G. Dekany, California Institute of Technology (United States)

Published in SPIE Proceedings Vol. 4839:
Adaptive Optical System Technologies II
Peter L. Wizinowich; Domenico Bonaccini, Editor(s)

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