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Updated: May 2, 2026

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在2022年海底表征实验中使用虚拟数组进行反转a)
Zoi-Heleni Michalopoulou1, Peter Gerstoft2, William S Hodgkiss2
1Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.
The Journal of the Acoustical Society of America
|June 20, 2025
概括
"2022年海底特性实验"使用基于高斯过程的匹配场反转 (GP-MFI) 来研究细粒度海底沉积物. 与传统技术相比,这种先进的方法提高了地理声学属性估计的准确性,并降低了不确定性.
科学领域:
- 海洋声学 海洋声学
- 海洋地质物理学 海洋地质物理学
- 信号处理 信号处理
背景情况:
- 细粒度沉积物影响水下声学传播.
- 精确的地声学特性对于声纳和水下通信至关重要.
- 传统的匹配场倒置 (MFI) 在复杂的环境中存在局限性.
研究的目的:
- 评估估计沉积物的地声学性质的方法.
- 将传统的MFI与基于高斯过程 (GP) 的新型MFI进行比较.
- 评估GP-MFI在细粒度沉积物的表征方面的表现.
主要方法:
- 在2022年海底特性实验 (SBCEX22) 中收集的音调声学数据.
- 使用传统的MFI和基于GP的MFI的来源定位和地声逆转.
- 基于GP的MFI使用虚拟阵列来进行增强的数据插值和声场一致性分析.
- 用于反转优化的遗传算法.
主要成果:
- 基于GP的MFI在地声逆转方面表现出卓越的表现.
- 总理-货币金融机构的方法产生了与地面真相数据强烈一致的结果.
- 与传统的MFI相比,GP-MFI对地声学属性估计的不确定性减少.
结论:
- 基于高斯过程的匹配场反转是一种更有效的技术,用于细粒度沉积物的表征.
- GP-MFI提供了更高的准确性和可靠性,用于估计地声学属性.
- 该方法显示了推动海底声学研究的巨大潜力.
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