Error analysis and threshold selection in model-based wavefront sensorless adaptive optics system
Error analysis and threshold selection in model-based wavefront sensorless adaptive optics system作者机构:Jiangsu Ocean UniversityLianyungang 222005China Jiangsu Marine Resources Development Research InstituteLianyungang 222005China China University of Mining and TechnologyXuzhou 221116China
出 版 物:《Optoelectronics Letters》 (光电子快报(英文版))
年 卷 期:2020年第16卷第5期
页 面:327-332页
核心收录:
学科分类:1002[医学-临床医学] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
基 金:This work has been supported by National Natural Science Foundation of China(No.11573011) the Six Talent Peaks Project of Jiangsu Province(No.KTHY-058) the‘333’Talent’s Project in Jiangsu Province(No.BRA2019244) the Hai Yan Project Project(No.LYG52105-2018025)in Lianyungang,the Research and Practice Innovation for Postgraduate in Jiangsu Province(No.KYCX20_2906)
主 题:optics optimal correction
摘 要:Accurate values of masked detector signal(MDS)is the key to the correction capability of wavefront sensorless(WFSless)model-based adaptive optics(AO)***,imaging detectors always carry different kinds of noises in real applications,which make MDS deviate from theoretical *** errors of MDS suffered from the noise were analyzed through theory and ***,considering the method of threshold is usually used to mitigate the noise,we also discussed the influence of threshold on *** showed that the simulation is consistent with the theory and there exists an optimal threshold to make the error minimum for different noise.A fi tting formula,which can accurately calculate optimal thresholds,was proposed based on the simulated *** results can provide a plausible method and theoretical basis to mitigate imaging noise of detectors in real applications.