Method and device for coherent fading suppression of a phi-otdr system based on spatially resolved redundant data

CN118733972BActive Publication Date: 2026-07-24NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF SCI & TECH
Filing Date
2024-07-19
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

The sensing performance of the Φ-OTDR system is susceptible to coherent fading, which weakens the signal strength and causes it to be submerged in background noise, increasing the hardware complexity and cost of the system.

Method used

A method based on redundant data within spatial resolution is adopted. A multi-channel signal and noise dataset is generated through a simulation module, and a time-series neural network model is used for training and prediction. Combined with spectrum analysis, coherent fading noise is suppressed.

Benefits of technology

Without increasing hardware complexity and cost, the system signal-to-noise ratio was improved, the false alarm rate was reduced, and the noise suppression capability and robustness were enhanced.

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Abstract

The application discloses a kind of Φ-OTDR system coherence fading inhibition method and device based on spatial resolution internal redundant data, specifically: first, simulate random one-dimensional continuous signal and noise waveform, and carry out channel replication expansion, add different random noise to the waveform of each channel, obtain multi-channel signal and noise data set;Then set the structure, parameter, activation function, loss function and optimizer of time sequence neural network model, data set is sent into model and is trained;Then judge whether the model error meets the requirements, if it does not meet the requirements, adjust the structure, parameter, activation function, loss function and optimizer of model, retrain the model;If it meets the requirements, the actual data detected by Φ-OTDR system is processed and packed, and is sent into the trained model for prediction, to obtain the signal characteristics distributed along the whole optical fiber.The application has low complexity, reduces the influence of coherence fading noise on Φ-OTDR system, and improves the transmission ability of the system.
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Citation Information

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