{"title":"考虑间歇性的时变随机湍流模型","authors":"Guoyong Yuan, Lin Xu, Yaping Liu, Shiping Yang","doi":"10.1109/IWCFTA.2009.34","DOIUrl":null,"url":null,"abstract":"Considering the intermittency of turbulence, the white noise as the stochastic driving term in time-varying stochastic turbulence model, which was supposed by Curtis R. Vogel [1], is replaced by a L\\'{e}vy random process. Phase screens can be obtained by solving the stochastic partial differential equation (PDE), and the corresponding point spread function (PSF) is also offered. These results describe that intermittency leads to the more extent distribution of PSF and more bad imaging quality.","PeriodicalId":279256,"journal":{"name":"2009 International Workshop on Chaos-Fractals Theories and Applications","volume":"25 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-Varying Stochastic Turbulence Model Considering Intermittency\",\"authors\":\"Guoyong Yuan, Lin Xu, Yaping Liu, Shiping Yang\",\"doi\":\"10.1109/IWCFTA.2009.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the intermittency of turbulence, the white noise as the stochastic driving term in time-varying stochastic turbulence model, which was supposed by Curtis R. Vogel [1], is replaced by a L\\\\'{e}vy random process. Phase screens can be obtained by solving the stochastic partial differential equation (PDE), and the corresponding point spread function (PSF) is also offered. These results describe that intermittency leads to the more extent distribution of PSF and more bad imaging quality.\",\"PeriodicalId\":279256,\"journal\":{\"name\":\"2009 International Workshop on Chaos-Fractals Theories and Applications\",\"volume\":\"25 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Chaos-Fractals Theories and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCFTA.2009.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Chaos-Fractals Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCFTA.2009.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
考虑到湍流的间歇性，将Curtis R. Vogel[1]假设的时变随机湍流模型中的随机驱动项白噪声替换为L\ {e}vy随机过程。通过求解随机偏微分方程(PDE)得到相位屏，并给出相应的点扩散函数(PSF)。这些结果说明，间歇性导致PSF分布范围更广，成像质量更差。
Time-Varying Stochastic Turbulence Model Considering Intermittency
Considering the intermittency of turbulence, the white noise as the stochastic driving term in time-varying stochastic turbulence model, which was supposed by Curtis R. Vogel [1], is replaced by a L\'{e}vy random process. Phase screens can be obtained by solving the stochastic partial differential equation (PDE), and the corresponding point spread function (PSF) is also offered. These results describe that intermittency leads to the more extent distribution of PSF and more bad imaging quality.
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