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Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

A Research on Underwater Acoustic Channel Modeling and Simulation of Shallow Sea

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_32,
        author={Bo Li and Hong-juan Yang and Gong-liang Liu and Xi-yuan Peng},
        title={A Research on Underwater Acoustic Channel Modeling and Simulation of Shallow Sea},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={Shallow underwater acoustic channels Channel modeling Ray model Adaptive equalization},
        doi={10.1007/978-3-319-52730-7_32}
    }
    
  • Bo Li
    Hong-juan Yang
    Gong-liang Liu
    Xi-yuan Peng
    Year: 2017
    A Research on Underwater Acoustic Channel Modeling and Simulation of Shallow Sea
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_32
Bo Li1,*, Hong-juan Yang1,*, Gong-liang Liu1,*, Xi-yuan Peng1,*
  • 1: Harbin Institute of Technology (Weihai)
*Contact email: libo1983@hit.edu.cn, hjyang@hit.edu.cn, liugl@hit.edu.cn, pxy@hit.edu.cn

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
Shallow underwater acoustic channels Channel modeling Ray model Adaptive equalization
Published
2017-02-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-52730-7_32
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