基于SEE-SGMD-PCC在分布式声传感器中的相位漂移和噪声抑制方法
Optics express
|September 15, 2023
概括
本研究引入了一种新的SEE-SGMD-PCC方法,用于改善分布式声学传感 (DAS) 进行地震勘探. 该技术有效地抑制相位噪声和漂移,增强振动相位恢复和信号对噪声比.
科学领域:
- 地质物理学 地质物理学
- 光学传感技术的技术
- 信号处理 信号处理
背景情况:
- 分布式声学传感 (DAS) 在地震勘探中面临挑战,原因是激光源频率漂移 (LSFD) 和相位噪声.
- 这些问题降低了真正的振动相位曲线恢复,限制了地质物理学中的DAS应用.
研究的目的:
- 提出和验证一种用于抑制DAS的相位噪声和漂移的新方法.
- 提高信号噪声比 (SNR) 和提高震动相恢复的精度,用于地震勘探.
主要方法:
- 结合对称极值扩展 (SEE),简易几何模式分解 (SGMD) 和皮尔森相关系数 (PCC) 的新算法被开发出来 (SEE-SGMD-PCC).
- 该方法的数学原理和处理流程详细说明.
- 实验使用具有数字异质连贯检测的DAS系统进行.
主要成果:
- 模拟实验证实了SEE-SGMD-PCC方法的有效性.
- 详细分析确定了DAS系统中的相位偏移和噪声源.
- 与其他方法相比,单频和多频振动测试实现了相位信号SNR的显著改进和相位信息的有效恢复.
结论:
- 该SEE-SGMD-PCC方法有效地抑制了DAS中的相位噪声和漂移,显著提高了相位信号质量.
- 该方法通过模拟和现场实验证明了可行性,促进了DAS在复杂的地震环境中的应用.
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