Application of Manifold Learning to Shallow Water Acoustic Communication

Zhichao LÜ; Haozhong WANG; Yiqi BAI

doi:10.11999/JEIT200629

Volume 43 Issue 3

Mar. 2021

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Zhichao LÜ, Haozhong WANG, Yiqi BAI. Application of Manifold Learning to Shallow Water Acoustic Communication[J]. Journal of Electronics & Information Technology, 2021, 43(3): 767-772. doi: 10.11999/JEIT200629

Citation:

Zhichao LÜ, Haozhong WANG, Yiqi BAI. Application of Manifold Learning to Shallow Water Acoustic Communication[J]. Journal of Electronics & Information Technology, 2021, 43(3): 767-772. doi: 10.11999/JEIT200629

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Application of Manifold Learning to Shallow Water Acoustic Communication

doi: 10.11999/JEIT200629

College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China

Received Date: 2020-10-28
Rev Recd Date: 2021-02-07

Available Online: 2021-02-18

Publish Date: 2021-03-22

Abstract

Abstract

Sallow water acoustic channel is severely affected by time-space variation, which destroys the robustness of underwater acoustic communication system. By introducing manifold learning in the analysis of high dimensional underwater environment and channel equalization processing, a novel underwater acoustic communication algorithm is presented. By establishing the mapping between environment parameter space and signal space, several physical restrictions can be posed on non-linear manifold learning algorithm. Moreover, the sparse property can reduce the dimension of underwater acoustic channel in order to exclude high dimensional non-linear noise from channel time-space variation. Both sound field analysis and shallow water experimental data verify the validity and the robustness of the proposed algorithm.
- Underwater acoustic communication,
- Manifold learning,
- Shallow water channel characteristics

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References(16)

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