Field Tests of Impulsive Acoustic Event Detection, Localization, and Classification Over Telecom Fiber Networks

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Publication Date: 7/3/2022

Event: OECC 2022 PDP

Reference: PDP-A-1: 1-3, 2022

Authors: Ming-Fang Huang, NEC Laboratories America, Inc.; Jian Fang, NEC Laboratories America, Inc.; Shaobo Han, NEC Laboratories America, Inc.; Zhuocheng Jiang, NEC Laboratories America, Inc.; Sarper Ozharar, NEC Laboratories America, Inc.; Yuheng Chen, NEC Laboratories America, Inc.; Tomoyuki Hino, NEC Corporation; Ting Wang, NEC Laboratories America, Inc.

Abstract: We report distributed-fiber-optic-sensing results on impulsive acoustic events localization/classification over telecom networks. A deep-learning-based model was trained to classify starter-gun and fireworks signatures with high accuracy of > 99% using fiber-based-signal-enhancer and >97% using aerial coils.

Publication Link: https://ieeexplore.ieee.org/document/9850229