Efficient Computation and Uncertainty Analysis of Underwater Acoustic Propagation based on Kriging Surrogate Model

被引：0

作者：

Guo, XianPeng ^{[1
]}

Zhang, Lilun ^{[1
]}

Wang, Dezhi ^{[1
]}

Lu, Zengquan ^{[1
]}

Wang, Yongxian ^{[1
]}

Zhang, Jun ^{[1
]}

机构：

[1] Natl Univ Def Technol, Acad Marine Sci & Engn, 109 Deya Rd, Changsha 410005, Hunan, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE) | 2017年 / 190卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, a Kriging surrogate model is introduced to simplify the computation of underwater acoustic propagation and quantify the related uncertainty. By using a Kriging model to replace the single frequency and multi-frequency FOR3D acoustic model, the computational speed is increased by dozens of times while ensuring that the maximum mean square error is confined within 5%. In this way, the balance between efficiency and accuracy of the underwater acoustic propagation is achieved. On the basis of this Kriging surrogate model, the Monte Carlo simulation is also used to analyze the uncertainty of acoustic propagation loss, in terms of the posterior probability density distribution. Finally, the confidence intervals corresponding to different confidence levels are calculated in order to quantify the uncertainty of transmission loss.

引用

页码：889 / 897

页数：9