Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field
Underwater small targets typically exhibit non-centrosymmetric geometries, resulting in a highly spatially inhomogeneous acoustic scattering field under active sonar detection. Addressing these challenges, this paper takes the hemispherical cylindrical shell as the research object, considers the ang...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1541799/full |
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| author | Tianyang Xu Hongjian Jia Jixing Qin |
| author_facet | Tianyang Xu Hongjian Jia Jixing Qin |
| author_sort | Tianyang Xu |
| collection | DOAJ |
| description | Underwater small targets typically exhibit non-centrosymmetric geometries, resulting in a highly spatially inhomogeneous acoustic scattering field under active sonar detection. Addressing these challenges, this paper takes the hemispherical cylindrical shell as the research object, considers the angle continuity implied in the echo characteristics, and proposes a cluster-driven research method for the non-uniform characteristics of the target echo angles. First, the target echo features are extracted and feature vectors are constructed. Secondly, the t-distributed stochastic neighbor embedding algorithm is employed to improve the internal connection of the feature vector in the low-dimensional feature space and to construct the visualized feature space. Finally, the implicit angular relationship between echo features is extracted under unsupervised conditions by cluster analysis. The reconstructed local geometric structures corresponding to different categories demonstrate that the method effectively segments the angular intervals of local target structures based on their natural acoustic scattering characteristics. The study overcomes the inherent subjectivity of traditional methods for dividing angular intervals of target echoes, providing a more objective foundation for segmenting and analyzing the target’s geometrical structure. |
| format | Article |
| id | doaj-art-4a8dcdf266444c50968104c685f388f5 |
| institution | Kabale University |
| issn | 2296-424X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj-art-4a8dcdf266444c50968104c685f388f52025-02-06T05:21:53ZengFrontiers Media S.A.Frontiers in Physics2296-424X2025-02-011310.3389/fphy.2025.15417991541799Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering fieldTianyang Xu0Hongjian Jia1Jixing Qin2Electrical Engineering College, Heilongjiang University, Harbin, ChinaElectrical Engineering College, Heilongjiang University, Harbin, ChinaState Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, ChinaUnderwater small targets typically exhibit non-centrosymmetric geometries, resulting in a highly spatially inhomogeneous acoustic scattering field under active sonar detection. Addressing these challenges, this paper takes the hemispherical cylindrical shell as the research object, considers the angle continuity implied in the echo characteristics, and proposes a cluster-driven research method for the non-uniform characteristics of the target echo angles. First, the target echo features are extracted and feature vectors are constructed. Secondly, the t-distributed stochastic neighbor embedding algorithm is employed to improve the internal connection of the feature vector in the low-dimensional feature space and to construct the visualized feature space. Finally, the implicit angular relationship between echo features is extracted under unsupervised conditions by cluster analysis. The reconstructed local geometric structures corresponding to different categories demonstrate that the method effectively segments the angular intervals of local target structures based on their natural acoustic scattering characteristics. The study overcomes the inherent subjectivity of traditional methods for dividing angular intervals of target echoes, providing a more objective foundation for segmenting and analyzing the target’s geometrical structure.https://www.frontiersin.org/articles/10.3389/fphy.2025.1541799/fullunderwater acousticsunderwater targetnon-uniform characteristicscluster-driven methodacoustic scattering characteristics |
| spellingShingle | Tianyang Xu Hongjian Jia Jixing Qin Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field Frontiers in Physics underwater acoustics underwater target non-uniform characteristics cluster-driven method acoustic scattering characteristics |
| title | Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field |
| title_full | Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field |
| title_fullStr | Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field |
| title_full_unstemmed | Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field |
| title_short | Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field |
| title_sort | cluster driven non uniform characteristic analysis of underwater target acoustic scattering field |
| topic | underwater acoustics underwater target non-uniform characteristics cluster-driven method acoustic scattering characteristics |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2025.1541799/full |
| work_keys_str_mv | AT tianyangxu clusterdrivennonuniformcharacteristicanalysisofunderwatertargetacousticscatteringfield AT hongjianjia clusterdrivennonuniformcharacteristicanalysisofunderwatertargetacousticscatteringfield AT jixingqin clusterdrivennonuniformcharacteristicanalysisofunderwatertargetacousticscatteringfield |