Nonlinear Fourier Transform Based Anomaly Detection with B-Modulated Signal
We proposed a nonlinear Fourier transform (NFT)-based anomaly detection method with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$b$</tex>-modulated signals. Through simulations, information transmission and the identification of an abnormal noise location with estimation accuracy of kilometer order are simultaneously achieved.
Authors
- Ken Mishina (ORCID: https://orcid.org/0000-0001-9460-3870)
- Akihiro Maruta (ORCID: https://orcid.org/0000-0001-7503-5097)
- Hideaki Shimpo
- Takumi Motomura (ORCID: https://orcid.org/0009-0004-0352-7382)
- Kaito Geshi
Institutions
- The University of Osaka (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109147
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00