Deep Learning Network on Waveform Components Recognition for Distributed Optic-Fiber Sensing

We have proposed a deep learning network of SqueezeNet in the application of distributed optic-fiber sensing based on phase-sensitive optical time-domain reflectometry technique. The obtained results show the improvement in the accuracy of waveform components recognition for low SNR and multiple component signals.