Random matrix theory for low-frequency sound propagation in the ocean: a spectral statistics test

D. Makarov
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引用次数: 7

Abstract

Problem of long-range sound propagation in the randomly-inhomogeneous deep ocean is considered. We examine a novel approach for modeling of wave propagation, developed by K.C.Hegewisch and S.Tomsovic. This approach relies on construction of a wavefield propagator using the random matrix theory (RMT). We study the ability of the RMT-based propagator to reproduce properties of the propagator corresponding to direct numerical solution of the parabolic equation. It is shown that mode coupling described by the RMT-based propagator is basically consistent with the direct Monte-Carlo simulation. The agreement is worsened only for relatively short distances, when long-lasting cross-mode correlations are significant. It is shown that the RMT-based propagator with properly chosen range step can reproduce some coherent features in spectral statistics.
低频声在海洋中传播的随机矩阵理论:频谱统计检验
研究了随机非均匀深海中长距离声传播问题。我们研究了由K.C.Hegewisch和S.Tomsovic开发的一种新的波传播建模方法。这种方法依赖于使用随机矩阵理论(RMT)构造波场传播器。我们研究了基于rmt的传播子再现抛物方程直接数值解所对应的传播子性质的能力。结果表明,基于rmt的传播算子所描述的模态耦合与直接蒙特卡罗模拟基本一致。只有在相对较短的距离内,当长时间的跨模相关性显著时,一致性才会恶化。结果表明,适当选择距离步长,基于rmt的传播算子可以再现谱统计中的一些相干特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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