Eigenvalue-based method for earthquake sensing and localization

Seventy percent of our planet is covered by water, and it is crucial to monitor disturbances beneath the ocean’s surface for the protection of trans-oceanic communication cables and the tracking of various activities including earthquakes, tsunamis, volcanic events, and maritime traffic.

In the summer of 2022, I supervised an internship project aimed at utilizing fiber sensing technology over submarine cables to precisely locate disturbances. By analyzing changes in light transmission within the cable, our team developed a cutting-edge solution that utilizes the matrix similarity property to effectively separate the contributions from each span. This breakthrough enables us to achieve highly accurate earthquake localization via polarization sensing and enhances our ability to monitor and mitigate potential risks in underwater environments.

To Know More

  1. Use Linear Algebra to Localize Earthquakes through Submarine Fiber Sensing, NEC Labs blog
  2. Polarization Sensing Using Polarization Rotation Matrix Eigenvalue Method, (Oral presentation) OFC 2023
  3. Improvement of resilience of submarine networks based on fiber sensing, SubOptic 2023
Shaobo Han
Shaobo Han

Machine learning