Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning

Khouloud Abdelli, Henrique Pavani, Christian Dorize, Sterenn Guerrier, Haik Mardoyan +2 more
9/5/2024
cs.LGeess.SP

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Abstract

We demonstrate mechanical threats classification including jackhammers and excavators, leveraging wavelet transform of MIMO-DFS output data across a 57-km operational network link. Our machine learning framework incorporates transfer learning and shows 93% classification accuracy from field data, with benefits for optical network supervision.

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@article{abdelli2024threat,
  title  = {Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning},
  author = {Khouloud Abdelli and Henrique Pavani and Christian Dorize and Sterenn Guerrier and Haik Mardoyan and Patricia Layec and Jeremie Renaudier},
  year   = {2024},
  eprint = {2409.03667},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.03667v1}
}

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