• DocumentCode
    2060501
  • Title

    Correlation-based Shack-Hartmann wavefront slope sensing in strong turbulence

  • Author

    Wheeler, Daniel J. ; Schmidt, Jason D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wright-Patterson AFB, Wright-Patterson AFB, OH, USA
  • fYear
    2010
  • fDate
    6-13 March 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The Shack-Hartmann wavefront sensor is the most common wavefront sensor used today in adaptive optics. While the most common way to employ a Shack-Hartmann wavefront sensor is with a centroiding-based algorithm, recent studies have shown how its accuracy can be increased by using a correlation-based algorithm. This paper compares the accuracy of a correlation-based Shack-Hartmann wavefront sensor to a centroiding-based Shack-Hartmann wavefront sensor by measuring the distortions of a point source viewed through strong turbulence where scintillation, variations in the amplitude of the field, plays an important role. In particular, this paper demonstrates that a correlation-based algorithm generally does outperform the centroiding-based algorithm, but by using a simple threshold a centroiding-based Shack-Hartmann can produce similar results as a correlation-based Shack-Hartmann. Also, in very low signal levels, such as when the average signal level is below the detector read noise, a regular centroiding-based Shack-Hartmann outperforms all other methods tested.
  • Keywords
    adaptive optics; atmospheric turbulence; optical distortion; scintillation; wavefront sensors; Shack-Hartmann wavefront slope sensing; adaptive optics; atmospheric turbulence; centroiding-based Shack-Hartmann wavefront sensor; correlation-based Shack-Hartmann wavefront sensor; optical distortion; scintillation; Adaptive optics; Atmospheric measurements; Delta modulation; Distortion measurement; Geometry; Mirrors; Optical sensors; Phase distortion; Phase measurement; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2010 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-3887-7
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2010.5446714
  • Filename
    5446714