Titre du document

Comparison of Fourier phase spectrum estimation using deconvolution from wavefront sensing and bispectrum reconstruction

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Nom du Corpus

AstroConcepts

Auteur(s)
  • Michael C Roggemann 1
  • Cynthia A Hyde 2
  • Byron M Welsh 3
Affiliation(s)
  • Department of Engineering Physics, Air Force Institute of Technology, Graduate School of Engineering, Wright-Patterson AFB, OH 45433, USA
  • Center for Electro-Optics, University of Dayton, 300 College Park, Dayton, OH 45469, USA
  • Department of Electrical and Computer Engineering, Air Force Institute of Technology, Graduate School of Engineering, Wright-Patterson AFB, OH 45433, USA
Résumé

Atmospheric turbulence limits the resolution of astronomical optical imaging systems. Speckle imaging and deconvolution from wavefront sensing (DWFS) are two post-detection image processing methods for overcoming some turbulence effects which do not require adaptive optics. Both speckle imaging and DWFS create estimates of the object irradiance distribution by first estimating the Fourier transform, or spectrum of the object. Previous work has established the signal-to-noise ratio performance for some of the estimators used in both speckle imaging and DWFS. However, the comparative quality of the object spectrum phase estimation provided by these two techniques has not been studied in detail. In this paper we present the results of a simulation study of the comparative Fourier phase estimation errors for speckle imaging using the bispectrum technique, and DWFS. It is shown that even for good wavefront sampling and bright objects DWFS provides Fourier phase spectrum estimation of lower quality than the phase spectrum estimate provided by the bispectrum technique. When the beacon is not bright enough to provide a good signal-to-noise ratio in the wavefront sensor the bispectrum technique provides much better Fourier phase spectrum estimation than DWFS.

Langue(s) du document
Anglais
Année de publication
1997
Revue

Optics Communications

Éditeur
Elsevier
Type de publication
journal
Type de document
research-article
Présence de XML structuré
Non
Version de PDF
1.2
Score de qualité du texte
9.244
Nom du concept
  • Artificial guide stars
Mots-clés d’auteur
  • Optical information, image formation and analysis, optical computing
Catégories Science-Metrix
  • 1 - applied sciences ; 2 - enabling & strategic technologies ; 3 - optoelectronics & photonics
Catégories Inist
  • 1 - sciences appliquees, technologies et medecines ; 2 - sciences exactes et technologie ; 3 - terre, ocean, espace ; 4 - geophysique externe
Catégories Scopus
  • 1 - Physical Sciences ; 2 - Engineering ; 3 - Electrical and Electronic Engineering
  • 1 - Physical Sciences ; 2 - Chemistry ; 3 - Physical and Theoretical Chemistry
  • 1 - Physical Sciences ; 2 - Physics and Astronomy ; 3 - Atomic and Molecular Physics, and Optics
  • 1 - Physical Sciences ; 2 - Materials Science ; 3 - Electronic, Optical and Magnetic Materials
Catégories WoS
  • 1 - science ; 2 - optics
Identifiant ISTEX
5A718EC6FE60DA87B2C40E8AB6929BAF7E79732F
ark:/67375/6H6-HKKR0TF3-D
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