用自主水下车辆配备声源和拖式水利话机 (arraya) 的地声逆转下底层资料数据
Paige Pfenninger1, Ying-Tsong Lin2
1MIT-WHOI Joint Program, Cambridge, Massachusetts 02139, USA.
The Journal of the Acoustical Society of America
|September 26, 2025
概括
这项研究使用多任务高斯过程回归和贝叶斯反转来估计海底特性从水下声音反射数据. 该方法看起来有前途,但对数据变异敏感,强调需要更多信息来解决模两可的问题.
科学领域:
- 海洋学 海洋学 海洋学
- 地质物理学 地质物理学
- 声学 声学 在声学上
背景情况:
- 准确地声学参数估计对于水下声学和海底表征至关重要.
- 传统的逆转方法与海底沉积物的固有变化和复杂性作斗争.
研究的目的:
- 通过使用来自广角海底反射的到达时间数据来调查底部地球声学逆变.
- 在复杂的海底环境中开发和验证估计范围依赖的地球声学参数的方法.
主要方法:
- 利用多任务高斯过程 (GP) 回归来量化海底反射回报的变化.
- 采用贝叶斯反转方案,根据GP回归来更新地球声学参数分布.
- 采集了使用自主水下车辆与声源和拖式水利话机阵列收集的实验数据.
主要成果:
- 实现了范围依赖的地球声学参数估计,分辨率约为十米.
- 证明逆转精度随着旅行时间数据变异的增加而降低.
- 确定了层厚度和声速之间的强合,表明参数估计的模糊性.
结论:
- 多任务GP回归有效地模拟了海底反射数据的变化.
- 贝叶斯反转方案提供了有价值的地声学参数估计,但需要额外的先前信息来进行唯一的确定.
- 海底的不均性和层级的粗性显著影响到达时间测量的差异.
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