Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning
<|reference_start|>Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning: 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.<|reference_end|>
@article{abdelli2024threat,
    title={Threat Classification on Deployed Optical Networks Using MIMO Digital
  Fiber Sensing, Wavelets, and Machine Learning},
    author={Khouloud Abdelli, Henrique Pavani, Christian Dorize, Sterenn Guerrier,
  Haik Mardoyan, Patricia Layec, Jeremie Renaudier},
    journal={arXiv preprint arXiv:2409.03667},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.03667},
    primaryClass={cs.LG eess.SP}
}