Temporal evolution of the optical path difference of a supersonic turbulent boundary layer

The density distribution of a supersonic turbulent boundary layer is measured with the nanoparticle-based planar laser scattering technique, and the temporal evolution of its optical path difference （OPD） in a short time interval is characterized by proper orthogonal decomposition （POD）. Based on th...

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Bibliographic Details
Published inChinese physics B Vol. 22; no. 1; pp. 231 - 236
Main Author 高穹 易仕和 姜宗福 何霖 谢文科
Format Journal Article
LanguageEnglish
Published 2013
Subjects
Evolution
Gaussian
Lasers
Mathematical models
Optical paths
Optical transfer function
POD
Statistics
Temporal logic
Turbulent boundary layer
光学传递函数
光程差
时间演化
湍流边界层
演变模型
超音速
过氧化物酶
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ISSN1674-1056
2058-3834
1741-4199
DOI10.1088/1674-1056/22/1/014202

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Summary:The density distribution of a supersonic turbulent boundary layer is measured with the nanoparticle-based planar laser scattering technique, and the temporal evolution of its optical path difference （OPD） in a short time interval is characterized by proper orthogonal decomposition （POD）. Based on the advantage of POD in capturing the energy of a signal, a temporal evolution model is suggested for the POD coefficients of the OPD. In this model, the first few coefficients vary linearly with time, and the others are modeled by Gaussian statistics. As an application, this method is used to compute the shortexposure optical transfer function.
Bibliography:aero-optics, supersonic turbulent boundary layer, optical transfer function
11-5639/O4
The density distribution of a supersonic turbulent boundary layer is measured with the nanoparticle-based planar laser scattering technique, and the temporal evolution of its optical path difference （OPD） in a short time interval is characterized by proper orthogonal decomposition （POD）. Based on the advantage of POD in capturing the energy of a signal, a temporal evolution model is suggested for the POD coefficients of the OPD. In this model, the first few coefficients vary linearly with time, and the others are modeled by Gaussian statistics. As an application, this method is used to compute the shortexposure optical transfer function.
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ISSN:1674-1056
2058-3834
1741-4199
DOI:10.1088/1674-1056/22/1/014202