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中文核心期刊

基于拖曳设备稀疏深度感知的深海声速剖面重构及声场预报

Deep-sea sound-speed profile estimation and prediction of sound propagation based on sparse depth sensing using towed temperature-depth sensors

  • 摘要: 为降低声速剖面重构对历史数据的依赖性, 针对深海声速剖面的便捷获取的问题,提出了一种深海声速剖面正交基函数提取方法以及基于声学拖曳设备稀疏深度感知的声速剖面空间分布重构方法。该声速剖面正交基函数提取方法通过分析深海水动力简正波获取声速剖面的基函数, 与传统的经验正交函数相比, 只需少量测量数据就可得到较为准确的声速剖面正交基函数。此外, 结合所提取的声速剖面正交基函数以及声学拖曳设备上有限个温深测量数据, 实现了稀疏深度感知的声速剖面空间分布重构, 降低了声速剖面空间测量成本。通过数值模拟深海上层温度剖面水平非均匀变化, 对该方法进行了验证。海试数据表明, 声速剖面重构结果与投弃式温深计实测结果的平均误差约为1 m/s, 利用重构结果预报的深海声传播损失与实测结果非常吻合。

     

    Abstract: Aiming at the problem of obtaining the sound speed profile in the deep sea, a method for orthogonal basis function extraction of deep-sea sound speed profiles is proposed based on the deep-sea hydrodynamic normal modes, which is able to reconstruct the sound speed profiles with less sample data compared to the empirical orthogonal functions. In addition, by combining the extracted orthogonal basis functions of the sound speed profiles with a limited number of temperature-depth measurements from the towed temperature-depth sensors, the spatial non-uniform sound speed profiles are estimated, which reduces the cost of measurements of the sound speed profiles. The method was validated by simulating the horizontal non-uniform variation of the deep-sea upper temperature profile. The sea trial data show that the average error between the reconstructed results of the sound speed profile and the measured results from the expendable bathythermographs is about 1 m/s, and that the deep-sea sound propagation losses predicted using the reconstructed results are in good agreement with the experimental data.

     

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