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基于GA-BP的低噪音FBG水声监测系统与参考传感器
Yubin Zhou1,2, Yuexia Zhao1, Chengbing Song1
1National Deep Sea Center of China, Qingdao 266237, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
这项研究引入了一种新的纤维布拉格格声监测系统,使用遗传算法反向传播 (GA-BP) 来减少海洋背景噪音. 该系统有效地抑制噪音,在具有挑战性的水下环境中提高信号清晰度.
科学领域:
- 声学和信号处理
- 光学传感技术的技术
- 海洋工程 海洋工程
背景情况:
- 恶劣的海洋环境会产生大量的背景噪音,降低光纤水电话监控系统的性能.
- 有效的降噪对于准确的水下声信号检测和分析至关重要.
研究的目的:
- 开发一种低噪音的纤维布拉格格 (FBG) 水声监控系统,能够抑制海洋背景噪音.
- 使用基因算法反向传播 (GA-BP) 与参考传感器来增强噪音抑制.
主要方法:
- 使用GA-BP和参考传感器推断噪声抑制步骤的理论分析.
- 使用参考和监控传感器数据构建培训和测试数据集.
- 优化GA-BP算法,以实现准确的低噪音信号提取.
主要成果:
- 在无声中的实验验证表明有效抑制背景噪声.
- 噪声抑制的有效性随着背景噪声水平的提高而增加.
- 达到 -173.76 dB至 -171.33 dB (8-12 kHz) 的声压灵敏度,平度<2.43 dB.
- 在信号噪声比 (SNR) 条件差的情况下,已证明有显著的噪声抑制 (>18.3 dB).
- 定向性实验证实了该算法的在阵列信号处理方面的优势.
结论:
- 拟议的基于GA-BP的FBG水声监测系统有效地减轻了海洋背景噪声.
- 该系统在恶劣的海洋环境中显示出可靠的水下声学监测的巨大潜力.
- 该方法为改善水声应用中的信号噪声比提供了一个有希望的解决方案.
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