Geoacoustic inversion using ship noise vector field

被引：0
|
作者：
Ren Q. [1 ,2 ]
Piao S. [3 ]
Ma L. [1 ,2 ]
Guo S. [1 ,2 ]
Liao T. [4 ]
机构：
[1] Institute of Acoustics, Chinese Academy of Sciences, Beijing
[2] Key Laboratory of Underwater Acoustics Environment, Chinese Academy of Sciences, Beijing
[3] Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin
[4] State Key Laboratory of Complex System Simulation, Beijing
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2018年 / 39卷 / 02期
关键词：
Genetic algorithm; Geoacoustic inversion; Optimization algorithm; Sediment acoustics; Shallow water acoustics; Ship noise; Uncertainty analysis; Vector field;
D O I：
10.11990/jheu.201609031
中图分类号：
学科分类号：
摘要：
Seabed geoacoustic parameters and associated uncertainties are important for sonar performance prediction and related applications, and the feasibility of jointly using pressure and vector fields to increase geoacoustic inversion reliability is discussed. The matching field inversion algorithm is used to process ship noise data collected by a single-vector hydrophone, and the estimation value and posterior probability distribution is derived. Theoretical analysis and a numerical simulation suggest that the component of the vertical particle velocity provides more abundant acoustic signal transmission characteristics than when using the acoustic pressure field only, and more consolidated estimates can be obtained through using pressure and vector fields jointly than by treating them individually. © 2018, Editorial Department of Journal of HEU. All right reserved.
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页码：236 / 240
页数：4
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