为降低舰船航行过程中噪声，研究舰船航行噪声传播路径问题。由于舰船航行过程中具有多处噪声来源，因此可将舰船航行过程中的多源噪声信号定义为卷积混叠，由此提出耦合噪声源分离方法。基于表示舰船航行过程中的噪声源信号与噪声信号接收器在不同时间节点下所获取的噪声观测信号，确定舰船航行噪声源信号。在此基础上，通过奇异值分解法处理噪声源信号，利用工况传递路径分析法分析舰船航行噪声传播路径贡献量。实验结果显示，该方法能够准确计算噪声传播过程中的损失量，分析舰船航行过程中噪声的主要来源，有效辅助研究对象航行过程中的噪声抑制处理。
To reduce the noise during ship navigation, the propagation path of ship navigation noise is studied. Due to the presence of multiple noise sources during ship navigation, the multi-source noise signals during ship navigation can be defined as convolutional mixing, and a coupled noise source separation method is proposed. Based on the noise observation signals obtained by the noise source signal and the noise signal receiver at different time nodes during ship navigation, the ship navigation noise source signal is determined. On this basis, the singular value decomposition method is used to process the noise source signal, and the contribution of ship navigation noise propagation path is analyzed using the condition transfer path analysis method. The experimental results show that this method can accurately calculate the loss during noise propagation, analyze the main sources of noise during ship navigation, and effectively assist in the noise suppression processing of the research object during navigation.
2023,45(17): 75-78 收稿日期：2023-06-02
DOI：10.3404/j.issn.1672-7649.2023.17.015
分类号：U661.39
基金项目：江西省文化艺术科学规划项目（YG2020158）
作者简介：吴海洋(1983-),男,讲师,研究方向为计算机音频技术
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