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逆转φ-OTDR空间窗口效应使用维纳解卷用于改进声波场重建的维纳解卷

Shangming Du^1,2,3, Tianwei Chen^2,3, Yuxing Duan^1,3,4

¹Sanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.

Sensors (Basel, Switzerland)

|March 14, 2026

概括

阶段敏感的光学时域反射计 (φ-OTDR) 系统遭受空间窗口,模糊声学事件检测. 这项研究模拟了这种效应,并使用维纳过来提高音响传感中的空间分辨率和精度.

科学领域:

光学和光子学在光学和光子学.
声学和振动传感器声学和振动传感器
信号处理信号处理

背景情况:

异构相位敏感光学时域反射计 (φ-OTDR) 显示空间窗口,限制分辨率,并引入声学事件检测中的错误.
这种空间响应是一种基本特征,而不是像点一样的灵敏度,影响了阵列信号处理的准确性.

研究的目的:

在φ-OTDR系统中建模和分析空间窗口效应.
开发和验证一个缓解策略,以提高空间分辨率和信号处理精度.
量化空间窗对波场分析和声谱估计的影响.

主要方法:

基于物理机制和系统参数 (脉冲宽度,测量长度,脉冲内强度动态) 的点传播函数 (PSF) 建模空间窗效应.
验证PSF模型与实验测量使用光纤合调.
采用基于维纳波器的解卷方法,将空间响应逆转为类似点的灵敏度.

主要成果:

该PSF模型准确地代表了空间窗口效应,并经过实验验证.
维纳波器解卷成功地提高了空间分辨率,并使2D波面几何结构的准确重建成为可能.
波场分析中的系统错误被抑制,大大提高了定向响应功率相变换 (SRP-PHAT) 空间频谱估计的准确性.

结论:

建立了一个系统的框架,以了解,量化和逆转φ-OTDR中的空间响应.
拟议的缓解策略有效地解决了空间窗户的局限性,从而实现更准确和可解释的声场传感.
这项工作增强了φ-OTDR在精确声学事件定位和表征方面的能力.

关键词:

在SRP-PHAT中使用.维纳波器的过器解体解体是一种解体.分布式声学传感传感器不同类型检测检测异质检测点差函数的点差函数是一个点差函数.空间频谱估计空间频谱估计 φ-OTDRDR 的时间.

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