A research on underwater acoustic channel modeling and simulation of shallow sea

Bo Li; Hong Juan Yang; Gong Liang Liu; Xi Yuan Peng

doi:10.1007/978-3-319-52730-7_32

A research on underwater acoustic channel modeling and simulation of shallow sea

Bo Li
, Hong Juan Yang^*
, Gong Liang Liu
, Xi Yuan Peng

^*Corresponding author for this work

School of Information Science and Engineering, Harbin Institute of Technology Weihai

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

Abstract

In order to research the shallow underwater communication system further and conveniently, the paper study the characteristics of underwater acoustic propagation and choose “Ray Model” as the simulation. Then we describe this model from the point of geometry and analyze some parameters of shallow underwater acoustic communication. According to these factors, the received signal delay and loss can be calculated and the received signal can also be expressed. This paper uses the technique of adaptive equalization to solve the serious Inter symbol interference (ISI) from the multi-path signals by giving principles and formulas of the least mean square (LMS) error algorithm. Finally, the shallow underwater acoustic channel model can be simulated by MATLAB in 2ASK modulation. In the results of simulation, the severe ISI can be observed in the received signal and can be eliminated by equalization. We also get the bit error rate curve successfully. This simulation can provide the foundation for other underwater acoustic communication researches and works.

Original language	English
Title of host publication	Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings
Editors	Xin-Lin Huang
Publisher	Springer Verlag
Pages	317-327
Number of pages	11
ISBN (Print)	9783319527291
DOIs	https://doi.org/10.1007/978-3-319-52730-7_32
State	Published - 2017
Externally published	Yes
Event	1st International Conference on Machine Learning and Intelligent Communications, MLICOM 2016 - Shanghai, China Duration: 27 Aug 2016 → 28 Aug 2016

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	183
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on Machine Learning and Intelligent Communications, MLICOM 2016
Country/Territory	China
City	Shanghai
Period	27/08/16 → 28/08/16

Keywords

Adaptive equalization
Channel modeling
Ray model
Shallow underwater acoustic channels

Access to Document

10.1007/978-3-319-52730-7_32

Cite this

Li, B., Yang, H. J., Liu, G. L., & Peng, X. Y. (2017). A research on underwater acoustic channel modeling and simulation of shallow sea. In X.-L. Huang (Ed.), Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings (pp. 317-327). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 183). Springer Verlag. https://doi.org/10.1007/978-3-319-52730-7_32

Li, Bo ; Yang, Hong Juan ; Liu, Gong Liang et al. / A research on underwater acoustic channel modeling and simulation of shallow sea. Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings. editor / Xin-Lin Huang. Springer Verlag, 2017. pp. 317-327 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{17eea7e9580640e6999bb1d08aeb4e91,

title = "A research on underwater acoustic channel modeling and simulation of shallow sea",

abstract = "In order to research the shallow underwater communication system further and conveniently, the paper study the characteristics of underwater acoustic propagation and choose “Ray Model” as the simulation. Then we describe this model from the point of geometry and analyze some parameters of shallow underwater acoustic communication. According to these factors, the received signal delay and loss can be calculated and the received signal can also be expressed. This paper uses the technique of adaptive equalization to solve the serious Inter symbol interference (ISI) from the multi-path signals by giving principles and formulas of the least mean square (LMS) error algorithm. Finally, the shallow underwater acoustic channel model can be simulated by MATLAB in 2ASK modulation. In the results of simulation, the severe ISI can be observed in the received signal and can be eliminated by equalization. We also get the bit error rate curve successfully. This simulation can provide the foundation for other underwater acoustic communication researches and works.",

keywords = "Adaptive equalization, Channel modeling, Ray model, Shallow underwater acoustic channels",

author = "Bo Li and Yang, \{Hong Juan\} and Liu, \{Gong Liang\} and Peng, \{Xi Yuan\}",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.; 1st International Conference on Machine Learning and Intelligent Communications, MLICOM 2016 ; Conference date: 27-08-2016 Through 28-08-2016",

year = "2017",

doi = "10.1007/978-3-319-52730-7\_32",

language = "英语",

isbn = "9783319527291",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "317--327",

editor = "Xin-Lin Huang",

booktitle = "Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings",

address = "德国",

}

Li, B , Yang, HJ , Liu, GL & Peng, XY 2017, A research on underwater acoustic channel modeling and simulation of shallow sea. in X-L Huang (ed.), Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 183, Springer Verlag, pp. 317-327, 1st International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, Shanghai, China, 27/08/16. https://doi.org/10.1007/978-3-319-52730-7_32

A research on underwater acoustic channel modeling and simulation of shallow sea. / Li, Bo ; Yang, Hong Juan ; Liu, Gong Liang et al.
Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings. ed. / Xin-Lin Huang. Springer Verlag, 2017. p. 317-327 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 183).

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

TY - GEN

T1 - A research on underwater acoustic channel modeling and simulation of shallow sea

AU - Li, Bo

AU - Yang, Hong Juan

AU - Liu, Gong Liang

AU - Peng, Xi Yuan

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.

PY - 2017

Y1 - 2017

N2 - In order to research the shallow underwater communication system further and conveniently, the paper study the characteristics of underwater acoustic propagation and choose “Ray Model” as the simulation. Then we describe this model from the point of geometry and analyze some parameters of shallow underwater acoustic communication. According to these factors, the received signal delay and loss can be calculated and the received signal can also be expressed. This paper uses the technique of adaptive equalization to solve the serious Inter symbol interference (ISI) from the multi-path signals by giving principles and formulas of the least mean square (LMS) error algorithm. Finally, the shallow underwater acoustic channel model can be simulated by MATLAB in 2ASK modulation. In the results of simulation, the severe ISI can be observed in the received signal and can be eliminated by equalization. We also get the bit error rate curve successfully. This simulation can provide the foundation for other underwater acoustic communication researches and works.

AB - In order to research the shallow underwater communication system further and conveniently, the paper study the characteristics of underwater acoustic propagation and choose “Ray Model” as the simulation. Then we describe this model from the point of geometry and analyze some parameters of shallow underwater acoustic communication. According to these factors, the received signal delay and loss can be calculated and the received signal can also be expressed. This paper uses the technique of adaptive equalization to solve the serious Inter symbol interference (ISI) from the multi-path signals by giving principles and formulas of the least mean square (LMS) error algorithm. Finally, the shallow underwater acoustic channel model can be simulated by MATLAB in 2ASK modulation. In the results of simulation, the severe ISI can be observed in the received signal and can be eliminated by equalization. We also get the bit error rate curve successfully. This simulation can provide the foundation for other underwater acoustic communication researches and works.

KW - Adaptive equalization

KW - Channel modeling

KW - Ray model

KW - Shallow underwater acoustic channels

UR - https://www.scopus.com/pages/publications/85012249408

U2 - 10.1007/978-3-319-52730-7_32

DO - 10.1007/978-3-319-52730-7_32

M3 - 会议稿件

AN - SCOPUS:85012249408

SN - 9783319527291

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 317

EP - 327

BT - Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings

A2 - Huang, Xin-Lin

PB - Springer Verlag

T2 - 1st International Conference on Machine Learning and Intelligent Communications, MLICOM 2016

Y2 - 27 August 2016 through 28 August 2016

ER -

Li B , Yang HJ , Liu GL , Peng XY. A research on underwater acoustic channel modeling and simulation of shallow sea. In Huang XL, editor, Machine Learning and Intelligent Communications - 1st International Conference, MLICOM 2016, Proceedings. Springer Verlag. 2017. p. 317-327. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-52730-7_32

A research on underwater acoustic channel modeling and simulation of shallow sea

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