Maximum a posteriori estimation of wave-front slopes using a Shack–Hartmann wave-front sensor

Current methods for estimating the wave-front slope at the pupil of a telescope by using a Shack–Hartmann wave-front sensor (SH–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 SH–WFS. We present the derivation of a maximum a posteriori (MAP) estimation of the irradiance centroids by incorporating statistical knowledge of the wave-front 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 square error performance is upper bounded by that exhibited by the classical centroid technique. This error performance is demonstrated by using Kolmogorov wave-front slope statistics for various light levels.

[1]  James R. Fienup,et al.  Joint estimation of object and aberrations by using phase diversity , 1992 .

[2]  E. P. Wallner Optimal wave-front correction using slope measurements , 1983 .

[3]  Chester S. Gardner,et al.  Wavefront Detector Optimization For Laser Guided Adaptive Telescopes , 1989, Defense, Security, and Sensing.

[4]  Michael C. Roggemann,et al.  Shot noise performance of Hartmann and shearing interferometer wavefront sensors , 1995, Optics & Photonics.

[5]  J. W. Hardy,et al.  Active optics: A new technology for the control of light , 1978, Proceedings of the IEEE.

[6]  Timothy J. Schulz Estimation-Theoretic Approach to the Deconvolution of Atmospherically Degraded Images With Wavefront , 1993 .

[8]  Robert C. Cannon,et al.  Global wave-front reconstruction using Shack–Hartmann sensors , 1995 .

[9]  B. Welsh,et al.  Imaging Through Turbulence , 1996 .

[10]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .

[11]  D. Fried Optical Resolution Through a Randomly Inhomogeneous Medium for Very Long and Very Short Exposures , 1966 .

[12]  A. Labeyrie Attainment of diffraction limited resolution in large telescopes by Fourier analysing speckle patterns in star images , 1970 .

[13]  David L. Fried Post-Detection Wavefront Distortion Compensation , 1988, Optics & Photonics.

[14]  A. Cramer-Rao lower bounds on the performance of charge-coupled-device optical position estimators , 1985 .

[15]  M C Roggemann,et al.  Processing wave-front-sensor slope measurements using artificial neural networks. , 1996, Applied optics.

[16]  Alexander Graham,et al.  Kronecker Products and Matrix Calculus: With Applications , 1981 .

[17]  M C Roggemann,et al.  Fundamental performance comparison of a Hartmann and a shearing interferometer wave-front sensor. , 1995, Applied optics.

[18]  Jérôme Primot,et al.  Deconvolution from wave-front sensing: a new technique for compensating turbulence-degraded images , 1990 .

[19]  J. Walkup,et al.  Statistical optics , 1986, IEEE Journal of Quantum Electronics.