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首页> 外文期刊>IEE Proceedings. Part H >Computing short-term amplitude fluctuations from statistical and spectral characteristics of atmospheric scintillation
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Computing short-term amplitude fluctuations from statistical and spectral characteristics of atmospheric scintillation

机译:根据大气闪烁的统计和频谱特征计算短期振幅波动

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摘要

A model is presented for generating time series to emulate the rapid fluctuations induced by scintillation and affecting waves propagating in the atmosphere. The model time series are generated by taking into account the theoretical power spectral density characteristics of scintillation derived from the theory of propagation in turbulent media. The model also combines the short-term statistical characteristics of scintillation estimated from measurements. A study of the statistics of the scintillation intensity, carried over periods of hours and days, highlights a strong diurnal cycle and is taken into consideration in the model. The first-order statistics of the model time series are compared to measured data and show a good agreement.
机译:提出了一个用于生成时间序列的模型,以模拟闪烁引起的快速起伏并影响在大气中传播的波。通过考虑从湍流介质中的传播理论得出的闪烁的理论功率谱密度特性,可以生成模型时间序列。该模型还结合了根据测量结果估算的闪烁的短期统计特征。在数小时和数天的时间内进行的闪烁强度统计数据的研究突出了强烈的昼夜周期,并在模型中予以考虑。将模型时间序列的一阶统计量与测量数据进行比较,并显示出很好的一致性。

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