Least-squares estimation for hybrid curvature wavefront sensors |
| |
Authors: | Shane Barwick |
| |
Institution: | Rocky Mound Engineering, 116 White Pine Ct., Macon, GA 31216, USA |
| |
Abstract: | In this paper general purpose weighted least-squares algorithms are introduced for use with hybrid sensors that provide slope and full curvature measurements, including the twist curvature. The algorithms are formulated for the traditional Fried and Southwell sampling geometries, as well as for a novel geometry specific to hybrid sensors. The estimation accuracy of the hybrid and Shack-Hartmann sensors are compared through simulations performed on phase screens that obey Kolmogorov turbulence theory. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|