| 孟华,刘杨,李杰,李想,牛奔.机器学习方法在水声信号处理中的应用进展[J].,2025,44(5):1382-1394 |
| 机器学习方法在水声信号处理中的应用进展 |
| Advances in machine learning methods in underwater acoustic signal processing |
| 投稿时间：2024-04-02 修订日期：2025-08-27 |
| 中文摘要: |
| 水声信号处理是利用声波在水声传播特性进行信息提取和传输的技术，随着我国海洋事业的不断发展，水声信号处理技术在海洋资源开发、海洋环境监测和海洋安全等领域发挥着越来越重要的作用。近年来，机器学习方法在水声信号处理的应用中取得了一定突破，本文全面综述了机器学习方法在水声通信、水声被动定位、水声探测中的研究进展，典型应用包括基于机器学习的水声信道估计、被动声纳定位以及水声目标识别等。海洋声学问题通常具有高度非线性、高度复杂的典型特点，机器学习方法凭借出色的自动化特征提取和模式识别能力可在这类问题的处理过程中实现优秀的拟合及分类效果。同时需要指出，机器学习方法在水声信号处理中的应用还存在一些挑战和问题，如数据量不足、数据质量低、算法复杂度高等，为此本文提供了进一步研究和探索的思路。 |
| 英文摘要: |
| Underwater acoustic (UWA) signal processing is a technology that utilizes the propagation characteristics of sound waves in water for information extraction and transmission. With the continuous development of China’s maritime industry, underwater acoustic signal processing technology is playing an increasingly significant role in fields such as marine resource exploitation, environmental monitoring, and maritime safety. In recent years, some progress has been made in the application of machine learning methods in UWA signal processing technology. This paper provides a comprehensive review of the progress of machine learning methods in UWA communication, UWA localization, and UWA detection, with typical applications including machine learning-based UWA channel estimation, passive sonar localization, and UWA target identification. The existing advances illustrate the excellent fitting and classification capabilities of machine learning with its excellent automated feature extraction and pattern recognition capabilities in dealing with such highly nonlinear and highly complex challenges as ocean acoustics. At the same time, it needs to be pointed out that there are still some challenges and problems in the application of machine learning methods in UWA signal processing technology, such as insufficient amount of data, low data quality, and high complexity of algorithms, which need further research and exploration. |
| DOI：10.11684/j.issn.1000-310X.2025.05.029 |
| 中文关键词: 水声信号处理 机器学习 水声通信 水声被动定位 水声探测 |
| 英文关键词: Underwater acoustic signal processing Machine learning Underwater acoustic communication Underwater acoustic localization Underwater acoustic detection |
| 基金项目: |
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