水下噪声源可视化识别系统设计与实现

戚 茜; 陈 航; 周 标

doi:10.11993/j.issn.2096-3920.2018.04.008

水下噪声源可视化识别系统设计与实现

doi: 10.11993/j.issn.2096-3920.2018.04.008

西北工业大学航海学院, 陕西西安, 710072

基金项目: 国家自然科学基金(61701529)、航天科学技术基金(N2017KC0131)

详细信息

作者简介:
戚茜(1981-), 女, 在读博士, 助理研究员, 主要研究方向为声场分析、信号与信息处理等.

中图分类号: O422.2; TB52.5
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- 被引次数: 0
出版历程
- 刊出日期: 2018-08-31

Design and Implementation of Visualized Underwater Noise Source Recognition System

School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

摘要

摘要: 水下可视化噪声源识别方法是一种有效的声场反演方法, 可直观地获得水下结构噪声源的空间分布情况。文中针对水中兵器的噪声源种类众多, 频谱成分复杂, 单一算法的噪声源识别系统无法同时满足实际工程应用的问题, 运用LabVIEW虚拟仪器软件平台设计出一套将波束形成和近场声全息相结合的水下噪声源可视化识别系统。通过分析水下声场中传播波和倏逝波的声场分布与测量距离和辐射频率的关系, 得出了传播波和倏逝波在水下声场中的变化规律, 确定了可利用的倏逝波传播距离。研究了不同测量距离、辐射频率和阵列尺寸条件下, 适用的可视化噪声源识别方法。实现了传声器阵列各通道标定校准、数据采集、声场波束指向特性、声场重构数据分析及不同频段上噪声源的可视化实验研究。实验结果验证了该系统的有效性, 满足实际工程应用。
- 水下噪声源识别 /
- 可视化 /
- 波束形成 /
- 近场声全息
Abstract: visualized underwater noise source recognition method is an effective acoustic field inversion, which can directly obtain the spatial distribution of underwater structural noise sources. Aiming at the problem that there are many kinds of noise sources and complex spectrum components of underwater weapons, the noise source recognition system based on a single algorithm can’t satisfy the practical engineering application simultaneously, a visualized recognition system of underwater noise sources is designed by combining beamforming and near-field acoustic holography on the virtual instrument software platform LabVIEW. By analyzing the relationships of the distribution of propagation wave and evanescent wave in underwater acoustic field with the measured distance and the radiation frequency, the variation rule of the propagation and evanescent waves in underwater acoustic field is obtained, and the evanescent wave propagation distance is hence determined. The visualized noise source recognition method is studied under different measurement distance, radiation frequency and array size. Visualization experiment of noise source recognition is conducted in terms of channel calibration, data acquisition, sound field beam directivity, sound field reconstruction data analysis, and noise source visualization on different frequency bands. The experimental results verify the effectiveness of the present system, which implies that the system is applicable to practical engineering.
- underwater noise source recognition /
- visualization /
- beamforming /
- near-field acoustic holography

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参考文献(14)

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