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中文核心期刊

深海声信道不确定性量化方法研究

Quantification method for uncertainty in deep-sea acoustic channels

  • 摘要: 提出了一种基于特征值分布与概率距离的深海声信道不确定性量化方法, 通过接收信号的互谱密度矩阵, 分类量化模型不确定性和信道不确定性。模型不确定性可衡量海上实测声场与仿真声场计算结果之间的差异, 而信道不确定性则描述了深海声信道实测结果与理论上的完全随机信道的差异。采用Jensen-Shannon散度和Wasserstein距离作为主要度量工具, 结合随机矩阵理论分析深海信道的特征值分布。仿真结果表明, 模型不确定性与信道不确定性在信噪比变化中表现出不同的敏感性。通过频域信号特征值的统计分析, 有效缓解了实验数据采样不足的问题, 实验结果验证了所提方法在南海某实验海域的适用性; 数据分析进一步显示, 该海域深海声信道不确定性在距离声源3 km附近达到最小值。

     

    Abstract: This paper presents a method for quantifying uncertainty in deep-sea acoustic channels based on eigenvalue distributions and probabilistic distances. By analyzing the cross-spectral density matrix of received signals, the method classifies and quantifies both model uncertainty and channel uncertainty. Model uncertainty measures the differences between the acoustics observed in sea trials and the simulated sound fields, while channel uncertainty describes the deviation between the measured deep-sea acoustic channels and an idealized completely random channel. The Jensen-Shannon divergence and Wasserstein distance are used as primary metrics, and the random matrix theory is applied to analyze the eigenvalue distributions of deep-sea channels. Simulation results demonstrate that model uncertainty and channel uncertainty exhibit different sensitivities to variations in signal-to-noise ratio. The experimental results demonstrate that the statistical analysis of frequency-domain signal eigenvalues effectively mitigates the challenges posed by insufficient experimental data sampling, while validating the applicability of the proposed method in a specified experimental area of the South China Sea. Further analysis reveals that the deep-sea acoustic channel uncertainty reaches its minimum value in the proximity of 3 km from the sound source within this marine region.

     

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