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拟合数据良好,但预测效果不佳:从混响测量中推导海底参数时的混响预测不确定性。

Fitting data, but poor predictions: reverberation prediction uncertainty when seabed parameters are derived from reverberation measurements.

作者信息

Holland Charles W

机构信息

Applied Research Laboratory, The Pennsylvania State University, State College, Pennsylvania 16804, USA.

出版信息

J Acoust Soc Am. 2008 May;123(5):2553-62. doi: 10.1121/1.2897037.

Abstract

For many decades, researchers have been developing inverse techniques for estimating seabed parameters from reverberation data, notably scattering strength. Generally, the angular dependence of the scattering kernel is unknown and is either solved for or assumed fixed. In either case, agreement is typically quite good between the measured reverberation and that modeled (by fitting scattering parameters). However, what are the resulting uncertainties in a reverberation prediction if the ocean or geometry changes? The main results of the paper are that (1) these prediction uncertainties are surprisingly large, of order 10 dB at 10 km and thus (2) traditional/current methods for reverberation inversion should be augmented, mitigating the large prediction uncertainties by an additional measurement. Several options for additional measurements are discussed.

摘要

几十年来,研究人员一直在开发从混响数据(特别是散射强度)估计海底参数的反演技术。通常,散射核的角度依赖性是未知的,要么求解,要么假定为固定值。在任何一种情况下,实测混响与建模混响(通过拟合散射参数)之间的一致性通常都相当好。然而,如果海洋或几何形状发生变化,混响预测中会产生哪些不确定性呢?本文的主要结果是:(1)这些预测不确定性大得惊人,在10公里处约为10分贝,因此(2)传统/当前的混响反演方法应加以改进,通过额外的测量来减轻较大的预测不确定性。文中讨论了几种额外测量的选项。

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