Piston sensing via a dispersed fringe sensor with a merit-function-based active scanning algorithm at low light levels  

作　　者：Yongfeng Zhang Hao Xian 张永峰;鲜浩(Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China;Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China [2]Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China [3]University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Chinese Optics Letters》2019年第12期27-31,共5页中国光学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(NSFC)(Nos.11873008 and61008038);the Innovation Fund of Key Laboratory of Chinese Academy of Sciences(No.CXJJ-17S053);the National Key Research and Development Program of China(No.2016YFB0501100)

摘　　要：Dispersed fringe sensors are a promising approach for sensing the large-scale physical step between adjacent segments with acceptable accuracy.However,the nature of dispersion in a dispersed fringe sensor leads to the ideal dispersed fringe pattern becoming vulnerable to noise,particularly at low light levels.A reliable merit-functionbased algorithm with an active actuation is introduced here.The feasibility of our algorithm is numerically demonstrated,and Monte Carlo experiments for different signal-to-noise ratios are conducted to assess its robustness.The results show that the method is valid even when the signal-to-noise ratio is as low as 1.Dispersed fringe sensors are a promising approach for sensing the large-scale physical step between adjacent segments with acceptable accuracy. However, the nature of dispersion in a dispersed fringe sensor leads to the ideal dispersed fringe pattern becoming vulnerable to noise, particularly at low light levels. A reliable merit-functionbased algorithm with an active actuation is introduced here. The feasibility of our algorithm is numerically demonstrated, and Monte Carlo experiments for different signal-to-noise ratios are conducted to assess its robustness. The results show that the method is valid even when the signal-to-noise ratio is as low as 1.

关 键 词：dispersed ALGORITHM function 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]