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小波直接重构算法用于Φ-OTDR分布式振动传感信号识别

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相敏光时域反射(Φ-OTDR)分布式振动传感系统需要通过一定的识别算法将规则的振动信号从无规则的噪声中识别出来,从而定位振动源.以往小波直接重构算法只适用于已知振动频率信号的识别,现在对采集到的背向瑞利散射信号在可测量频率范围内进行完整的小波分解和分层重构,然后结合动态阈值进行信号判定.实验显示该方法可以识别出可测量频率范围内的未知频率信号,特别是可以分辨极低频率的振动,其时间消耗与移动平均-移动差分算法在同一水平.
Application of Wavelet Direct Reconstruction Algorithm in Distributed Vibration Sensing Signal Identification for Φ-OTDR
The phase-sensitive optical time-domain reflectometry(Φ-OTDR)distributed vibration sensing system requires a recognition algorithm to identify regular vibration signals from random noise in order to locate the vibration source.The traditional wavelet direct reconstruction algorithm has only been applicable for the identification of known frequency vibration signals.The acquired backscattered Rayleigh signals are now subject to complete wavelet decomposition and hierarchical reconstruction within the measurable frequency range,followed by dynamic threshold-based signal determination.Experi-mental results demonstrate that this method can successfully identify unknown frequency signals within the measurable frequency range,particularly able to distinguish very low-frequency vibrations,and the time consumption is comparable to the Moving Average-Moving Difference algorithm.

Φ-OTDRwavelet noise depressingmoving average moving difference algorithmsignal recognition

张子奇、张钰清、孔梅

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长春理工大学 物理学院,长春 130022

相敏光时域反射 小波降噪 移动差分-移动平均算法 信号识别

2024

长春理工大学学报(自然科学版)
长春理工大学

长春理工大学学报(自然科学版)

CSTPCD
影响因子:0.432
ISSN:1672-9870
年,卷(期):2024.47(6)