Computer Science – Performance
Scientific paper
Oct 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2827...68s&link_type=abstract
Proc. SPIE Vol. 2827, p. 68-78, Digital Image Recovery and Synthesis III, Paul S. Idell; Timothy J. Schulz; Eds.
Computer Science
Performance
Scientific paper
Current methods for estimating the wavefront slope at the pupil of a telescope using a Hartmann wavefront sensor (H- WFS) are based on a simple centroid calculation of the irradiance distributions (spots) recorded in each subaperture. The centroid calculation does not utilize knowledge concerning the correlation properties of the slopes over the subapertures or the amount of light collected by the H-WFS. This paper presents the derivation of a maximum a priori (MAP) estimation of the irradiance centroids by incorporating statistical knowledge of the wavefront tilts. Information concerning the light level in each subaperture and the relative spot size is also employed by the estimator. The MAP centroid estimator is found to be unbiased and the mean squared error performance is upper bounded by that exhibited by the classical centroid technique. This error performance is demonstrated using Kolmogorov wavefront slope statistics for various light levels.
Roggemann Michael C.
Sallberg Scott A.
Welsh Byron M.
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