随机介质中的波传播:超越高斯统计

Josselin Garnier
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引用次数: 0

摘要

本文回顾了波在随机介质中传播的一些方面。物理学文献中的描述似乎很简单:对于较大的传播距离,波场具有高斯统计量、均值为零以及由辐射传递理论确定的二阶矩。在一般情况下,可以通过多尺度分析证明前两个矩的结果。关于波场统计分布的高斯猜想可以在某些传播机制中得到证明,例如我们在本综述第一部分中讨论的白噪声旁轴机制。然而,在其他情况下,例如在随机扰动的开放波导中,这个猜想可能是错误的,我们将在本综述的第二部分讨论这个问题。在第三部分,也是最后一部分,我们通过证明高斯猜想在高频随机扰动开放波导中得到了恢复,即当传播模式的数量增加时,这两个结果得到了调和。
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Wave propagation in random media: beyond Gaussian statistics
In this paper we review some aspects of wave propagation in random media. In the physics literature the picture seems simple: for large propagation distances, the wavefield has Gaussian statistics, mean zero, and second-order moments determined by radiative transfer theory. The results for the first two moments can be proved under general circumstances by multiscale analysis. The Gaussian conjecture for the statistical distribution of the wavefield can be proved in some propagation regimes, such as the white-noise paraxial regime that we address in the first part of this review. It may, however, be wrong in other regimes, such as in randomly perturbed open waveguides, that we address in the second part of this review. In the third and last part, we reconcile the two results by showing that the Gaussian conjecture is restored in randomly perturbed open waveguides in the high-frequency regime, when the number of propagating modes increases.
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