一种逆式回声仪传播时间数据的处理方法
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中国石油大学(华东)

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基于联邦强化学习的大规模移动水下无线传感网的自适应协同定位技术研究,国家自然科学基金项目(面上项目,重点项目,重大项目)


A Processing Method for Propagation Time Data of Inverted Echo Sounder
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China University of Petroleum

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Research on Adaptive Cooperative Localization Technology for Large-scale Mobile Underwater Wireless Sensor Network Based on Federated Reinforcement Learning,

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    摘要:

    逆式回声仪是深海声层析领域主要的信息采集设备,它发射声信号并根据接收时间来反演海洋区域的物理性质。但是由于海洋深度的不均匀性,不同设备采集的信息难以进行统一使用。针对上述问题,本文以墨西哥湾采集的信息为例,对逆势回声仪数据的采集和处理方法进行说明,详细阐述了数据的拟合和去噪处理。本文还针对季节偏差与参考面转化进行深入研究,提出了一种考虑季节偏差的方法,将季节偏差从测量数据中剔除,并将时间数据转化到定义参考面上,有效提升了数据处理方法的鲁棒性。本文的方法可适用于其他海域逆式回声仪数据的处理,也可为其他类似研究提供参考。

    Abstract:

    Inverse echosounders (IES) are the main information acquisition devices in the field of deep-sea acoustic tomography, which emit acoustic signals and invert the physical properties of ocean areas based on the time of reception. However, due to the inhomogeneity of ocean depth, it is difficult to use the information collected by different devices in a uniform way. In response to the above problems, this paper illustrates the acquisition and processing methods of inverse echosounder data by taking the information collected in the Gulf of Mexico as an example, and elaborates on the fitting and denoising of the data. This paper also conducts an in-depth study on seasonal bias and reference surface transformation, and proposes a method to consider seasonal bias, which removes seasonal bias from the measurement data and transforms the time data to the defined reference surface, effectively improving the robustness of the data processing method. The method in this paper can be applied to the processing of inverse echosounder data in other sea areas, and can also provide a reference for other similar studies.

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  • 收稿日期:2023-12-05
  • 最后修改日期:2023-12-13
  • 录用日期:2023-12-18
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