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A Local Threshold Checkerboard Algorithm for Adaptive Optics System With a Plenoptic Sensor
Z. C. Wang; T. Chen; X. D. Lin; L. Wang; Q. C. An and J. T. Hu
2022
发表期刊Ieee Photonics Journal
ISSN1943-0655
卷号14期号:1页码:9
摘要Adaptive optics systems will encounter challenges under strong atmospheric turbulence conditions. Recently, a modified approach based on plenoptic sensor has attracted considerable attention. However, after wavefront correction under strong turbulence, we found that the existing wavefront reconstruction algorithm has difficulty in accurately reconstructing the residual aberrations. Therefore, we proposed a local threshold checkerboard algorithm to improve the accuracy of wavefront reconstruction by thresholding specific areas of central sub-apertures of the plenoptic sensor. In order to demonstrate the effectiveness of our algorithm, we designed and built an experimental platform. The platform included a deformable mirror, which we were able to adjust to simulate several different aberration conditions. Afterwards the direct-gradient method was used for correction of the residual aberrations, which were reduced to less than 0.1 lambda(RMS), demonstrating the effectiveness of our algorithm.
DOI10.1109/jphot.2021.3138776
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收录类别sci ; ei
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/66815
专题中国科学院长春光学精密机械与物理研究所
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Z. C. Wang,T. Chen,X. D. Lin,et al. A Local Threshold Checkerboard Algorithm for Adaptive Optics System With a Plenoptic Sensor[J]. Ieee Photonics Journal,2022,14(1):9.
APA Z. C. Wang,T. Chen,X. D. Lin,L. Wang,&Q. C. An and J. T. Hu.(2022).A Local Threshold Checkerboard Algorithm for Adaptive Optics System With a Plenoptic Sensor.Ieee Photonics Journal,14(1),9.
MLA Z. C. Wang,et al."A Local Threshold Checkerboard Algorithm for Adaptive Optics System With a Plenoptic Sensor".Ieee Photonics Journal 14.1(2022):9.
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