Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices
- Resource Type
- Conference
- Authors
- Farsi, Mohammad; Hager, Christian; Karlsson, Magnus; Agrell, Erik
- Source
- 2024 Optical Fiber Communications Conference and Exhibition (OFC) Optical Fiber Communications Conference and Exhibition (OFC), 2024. :1-3 Mar, 2024
- Subject
- Communication, Networking and Broadcast Technologies
Photonics and Electrooptics
Location awareness
Inverse problems
Perturbation methods
Noise
Receivers
Optical fiber communication
Sensors
- Language
We consider the problem of recovering spatially resolved polarization information from receiver Jones matrices. We introduce a physics-based learning approach, improving noise resilience compared to previous inverse scattering methods, while highlighting challenges related to model overparameterization.