Source Localization Based on Ray Theory and Artificial Neural Network

Author

Too, Gee-Pinn James ; Lin, E-Shine ; Hsieh, Yu-Haw

Author_Institution

Nat. Cheng Kung Univ., Tainan

fYear

2007

fDate

16-19 May 2007

Firstpage

1

Lastpage

8

Abstract

The paper presents a method of passive localization for an 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 prove its accuracy and reliability.

Keywords

acoustic signal processing; geophysical signal processing; neural nets; underwater sound; acoustic source localization; artificial neural network; passive localization; ray acoustic theory; shallow water environment; underwater acoustic channel; Acoustic propagation; Acoustic waves; Artificial neural networks; Frequency; Marine technology; Mechatronics; Position measurement; Surface acoustic waves; Underwater acoustics; Water resources; Ray acoustic theory; arrival time; artificial neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2006 - Asia Pacific

Conference_Location

Singapore

Print_ISBN

978-1-4244-0138-3

Electronic_ISBN

978-1-4244-0138-3

Type

conf

DOI

10.1109/OCEANSAP.2006.4393819

Filename

4393819