Source localization based on ray theory and artificial neural network

Gee Pinn James Too; E. Shine Lin; Yu Haw Hsieh

doi:10.1109/OCEANSAP.2006.4393819

Source localization based on ray theory and artificial neural network

Gee Pinn James Too, E. Shine Lin, Yu Haw Hsieh

Department of Systems and Naval Mechatronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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 Rayacoustic 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.

Original language	English
Title of host publication	2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF
Publisher	IEEE Computer Society
ISBN (Print)	1424401380, 9781424401383
DOIs	https://doi.org/10.1109/OCEANSAP.2006.4393819
Publication status	Published - 2006 Jan 1
Event	OCEANS 2006 - Asia Pacific - , Singapore Duration: 2007 May 16 → 2007 May 19

Publication series

Name	OCEANS 2006 - Asia Pacific

Other

Other	OCEANS 2006 - Asia Pacific
Country/Territory	Singapore
Period	07-05-16 → 07-05-19

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Ocean Engineering

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10.1109/OCEANSAP.2006.4393819

Cite this

@inproceedings{50c955d158404fa1951528bbe74de412,

title = "Source localization based on ray theory and artificial neural network",

abstract = "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 Rayacoustic 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.",

author = "Too, {Gee Pinn James} and Lin, {E. Shine} and Hsieh, {Yu Haw}",

year = "2006",

month = jan,

day = "1",

doi = "10.1109/OCEANSAP.2006.4393819",

language = "English",

isbn = "1424401380",

series = "OCEANS 2006 - Asia Pacific",

publisher = "IEEE Computer Society",

booktitle = "2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF",

address = "United States",

note = "OCEANS 2006 - Asia Pacific ; Conference date: 16-05-2007 Through 19-05-2007",

}

TY - GEN

T1 - Source localization based on ray theory and artificial neural network

AU - Too, Gee Pinn James

AU - Lin, E. Shine

AU - Hsieh, Yu Haw

PY - 2006/1/1

Y1 - 2006/1/1

N2 - 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 Rayacoustic 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.

AB - 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 Rayacoustic 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.

UR - http://www.scopus.com/inward/record.url?scp=50249090374&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50249090374&partnerID=8YFLogxK

U2 - 10.1109/OCEANSAP.2006.4393819

DO - 10.1109/OCEANSAP.2006.4393819

M3 - Conference contribution

SN - 1424401380

SN - 9781424401383

T3 - OCEANS 2006 - Asia Pacific

BT - 2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF

PB - IEEE Computer Society

T2 - OCEANS 2006 - Asia Pacific

Y2 - 16 May 2007 through 19 May 2007

ER -

Source localization based on ray theory and artificial neural network

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