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Conferences > OFC > 2024 > Th2A > Th2A.14

Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices

Mohammad Farsi, Christian Häger, Magnus Karlsson, and Erik Agrell

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Abstract

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 highlight-ing challenges related to model overparameterization.

© 2024 The Author(s)

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