PHASE-DIVERSITY WAVE-FRONT SENSOR FOR IMAGING-SYSTEMS

被引：98

作者：

KENDRICK, RL

ACTON, DS

DUNCAN, AL

机构：

[1] Department 96-50, Palo Alto, CA, 94304-1191, Building 251, Lockheed Palo Alto Research Laboratories

来源：

APPLIED OPTICS | 1994年 / 33卷 / 27期

关键词：

PHASE DIVERSITY; ADAPTIVE OPTICS; WAVE-FRONT SENSORS;

D O I：

10.1364/AO.33.006533

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A phase-diversity wave-front sensor has been developed and tested at the Lockheed Palo Alto Research Labs (LPARL). The sensor consists of two CCD-array focal planes that record the best-focus image of an adaptive imaging system and an image that is defocused. This information is used to generate an object-independent function that is the input to a LPARL-developed neural network algorithm known as the General Regression Neural Network (GRNN). The GRNN algorithm calculates the wave-front errors that are present in the adaptive optics system. A control algorithm uses the calculated values to correct the errors in the optical system. Simulation studies and closed-loop experimental results are presented.

引用

页码：6533 / 6546

页数：14

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