Source localization based on ray theory and artificial neural network

被引：0
|
作者：
Too, Gee-Pinn James [1 ]
Lin, E-Shine [1 ]
Hsieh, Yu-Haw [1 ]
机构：
[1] Natl Cheng Kung Univ, Dept Syst & Naval Mechatron Engn, Tainan 70101, Taiwan
来源：
OCEANS 2006 - ASIA PACIFIC, VOLS 1 AND 2 | 2006年
关键词：
ray acoustic theory; arrival time; artificial neural network;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
The paper presents a method of passive localization for acoustic source in shallow water based on Ray acoustic theory. Ray acoustic theory is used to establish underwater acoustic channel and to analyze physical quantities (arrival time and arrival angle) received by sensors and to determine mutual relationship of rays between sources and receivers by using artificial neural network for source localization. This Ray-acoustic based method of passive localization features its simplicity, calculation efficiency and robust performance to environment variations. Hence, the method is more practicable and more valuable for source localization. In this study, the Ray-acoustic based method of passive localization is not only used in shallow water, but it is also verified by using a non-trained source to proof its accuracy and reliability.
引用
收藏
页码：30 / 37
页数：8
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