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基于面具网络的分布式光纤传感器的自适应多源分离策略.

Yi Shi, Jie Chen, Qiren Yan

    Optics express
    |December 19, 2025
    PubMed
    概括

    本研究介绍了一种适应性策略,以分离光纤传感系统中的重叠事件,即使数据有限. 该方法改进了现有的信号,以改善相位敏感光学时域反射计 (φ-OTDR) 系统中的事件隔离.

    科学领域:

    • 光学工程是指光学工程.
    • 信号处理 信号处理
    • 传感技术 传感技术

    背景情况:

    • 在φ-OTDR系统中分离重叠的多源事件具有挑战性,尤其是在有限的训练数据的情况下.
    • 数据稀缺性可能会导致面具估计器过拟合,阻碍所需信号组件的隔离.
    • 传统方法通常依赖于数据增强来解决有限的数据集.

    研究的目的:

    • 为φ-OTDR系统中的多源事件提出一种新的适应性分离策略.
    • 克服数据稀缺的局限性,改善重叠信号的分离.
    • 为了提高分离结果的质量,而无需进行广泛的数据增强.

    主要方法:

    • 开发了一种适应性分离策略,可以代地改进差分离的信号.
    • 在代过程中利用现有的数据集和掩盖估计器.
    • 通过理论分析和实验测试验证了该方法.

    主要成果:

    • 适应性策略有效地将φ-OTDR系统中的重叠的多源事件分开.
    • 在数据有限的条件下,证明了信号隔离质量的提高.
    • 展示了该战略在各种场景中的可行性和可移植性.

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    结论:

    • 拟议的自适应分离策略为φ-OTDR中多源事件分离提供了一个新的解决方案.
    • 这种方法即使在有限的培训样本上也是有效的,解决了现场的一个关键挑战.
    • 该战略显示,在光学传感方面,有望有实际应用的潜力.