Vector space approach for modelling a Hartmann wavefront sensor

Author

Miller, Richard G. ; Paschal, Randall N.

Author_Institution

US Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA

fYear

1990

fDate

21-25 May 1990

Firstpage

233

Abstract

The authors apply a vector space approach using matrix operations and linear algebra to develop a model of a Hartmann wavefront sensor. The wavefront sensor measures the records the wavefront phase over an aperture by dividing the total aperture in 69 subapertures. Wavefront sensor outputs obtained in experimental tests are analyzed to identify regions of linearity, nonlinearity, and saturation, and to estimate bias and noise. Since wavefront sensor measurements can be noise-corrupted, nonlinear, and limited in accuracy, a stochastic truth model that could be used to design an optimal controller to minimize the mean square phase front error is developed

Keywords

matrix algebra; optical communication; optical communication equipment; random noise; signal detection; stochastic processes; Hartmann wavefront sensor; aberrations; linear algebra; linearity; matrix operations; mean square phase front error; modelling; noise; nonlinearity; optical image detection; optical receiver; optimal controller; saturation; stochastic truth model; vector space; wavefront phase; Apertures; Linear algebra; Linearity; Noise measurement; Optimal control; Phase measurement; Phase noise; Stochastic resonance; Testing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1990.112771

Filename

112771