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Piston sensing via a dispersed fringe sensor with a merit-function-based active scanning algorithm at low light levels 被引量:1

Piston sensing via a dispersed fringe sensor with a merit-function-based active scanning algorithm at low light levels
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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.
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)
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 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)
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