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Reconstruction performance analysis for Basis Function of the sound speed profile
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Qianqian Li1, 2, Jinlong Zhu1, Yu Luo1, *, Dongdong Peng1
Haiyang Xuebao | 2023, 45(11) : 34 - 44
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Haiyang Xuebao | 2023, 45(11): 34-44
• Article •
Reconstruction performance analysis for Basis Function of the sound speed profile
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Qianqian Li1, 2, Jinlong Zhu1, Yu Luo1, *, Dongdong Peng1
Affiliations
  • 1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • 2College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Published: 2023-11-30 doi: 10.12284/hyxb2023156
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Empirical Orthogonal Functions (EOFs) are usually used for sparse representation of the sound speed profile (SSP). However, due to the restriction of data completeness and measurement time, the representative error of the EOF will lead to limited accuracy of SSP reconstruction. In order to improve the reconstruction accuracy of SSP, the fuzzy C-means clustering algorithm is used to analyze the BOA_Argo historical data set and the reconstruction accuracy of the measured SSP based on different clustering spaces of data samples is discussed. The results shows that the SSPs are significant temporal-spatial clustering. The EOF and mean SSP generated by the clustered historical SSPs have the best reconstruction performance. The results of this paper are helpful to provide practical guidance for the selection of historical SSP training data and can improve the accuracy of SSP reconstruction.

sound speed profile  /  fuzzy C-means clustering  /  Empirical Orthogonal Function
Qianqian Li, Jinlong Zhu, Yu Luo, Dongdong Peng. Reconstruction performance analysis for Basis Function of the sound speed profile[J]. Haiyang Xuebao, 2023 , 45 (11) : 34 -44 . DOI: 10.12284/hyxb2023156
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Year 2023 volume 45 Issue 11
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Article Info
doi: 10.12284/hyxb2023156
  • Receive Date：2023-03-18
  • Online Date：2025-12-28
  • Published：2023-11-30
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  • Received：2023-03-18
  • Revised：2023-08-03
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Affiliations
    1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    2College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
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