METHOD FOR RESISTING NOISE OF CO-PHASING SYSTEM OF DISPERSED FRINGE SENSOR AND OPTICAL SYSTEM

摘要

The present disclosure provides a method for improving capability of resisting image noise of a co-phasing system of a dispersed fringe sensor. The method comprises the following steps: carrying out a coarse co-phasing adjustment by utilizing the dispersed fringe sensor until the coarse co-phasing is stabilized in a closed loop; collecting a two dimensional dispersed fringe image by the dispersed fringe sensor; superposing the dispersed fringe image along a dispersed direction so as to convert the two dimensional dispersed fringe image to a one dimensional image along an interferential direction; extracting peak values of the main peak, a left side lobe and a right side lobe of the one dimensional image along the interferential direction, and calculating corresponding piston error value of the image by carrying out a Left-subtracting-right LSR algorithm on these peak values.

主权项

1. A method for improving capability of resisting image noise of a co-phasing system of a dispersed fringe sensor applied for an optical system comprising a main mirror system, a dispersed fringe sensor and a processing device, which comprises the following steps:
carrying out a coarse co-phasing adjustment on the main mirror system by utilizing the dispersed fringe sensor until the coarse co-phasing of the main mirror system is stabilized in a closed loop; collecting a two dimensional dispersed fringe image by the dispersed fringe sensor; the processing device is configured to carry out the following steps: 1) superposing the dispersed fringe image along a dispersed direction so as to convert the two dimensional dispersed fringe image to a one dimensional image along an interferential direction; 2) extracting peak values of the main peak, a left side lobe and a right side lobe of the one dimensional image along the interferential direction, and calculating corresponding piston error value of the image by carrying out a Left-subtracting-right LSR algorithm on these peak values; and inputting the calculated piston error value to a closed loop control algorithm to get a control signal and eliminating the piston error according to the control signal.