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20212024
most citedPolarization Tracking in the Presence of PDL and Fast Temporal Drift

8 citations · 9 across the 5 of their papers we have counts for

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5 papers

cs.IT2024★ 1 cited

On the Capacity of Correlated Phase-Noise Channels: An Electro-Optic Frequency Comb Example

Mohammad Farsi, Hamdi Joudeh, Gabriele Liga +3

The capacity of a discrete-time channel with correlated phase noises is investigated. In particular, the electro-optic frequency comb system is considered, where the phase noise of…

eess.SP2024

Pilot Distributions for Phase Noise Estimation in Electro-Optic Frequency Comb Systems

Mohammad Farsi, Magnus Karlsson, Erik Agrell

We explore the optimal pilot positioning for phase tracking in electro-optic frequency comb setups. We show that, in contrast to previous results for regular multichannel systems,…

eess.SP2024

Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices

Mohammad Farsi, Christian Häger, Magnus Karlsson +1

We consider the problem of recovering spatially resolved polarization information from receiver Jones matrices. We introduce a physics-based learning approach, improving noise resi…

eess.SP2022★ 8 cited

Polarization Tracking in the Presence of PDL and Fast Temporal Drift

Mohammad Farsi, Christian Häger, Magnus Karlsson +1

In this paper, we analyze the effectiveness of polarization tracking algorithms in optical transmission systems suffering from fast state of polarization (SOP) rotations and polari…

cs.IT2021

Capacity Bounds under Imperfect Polarization Tracking

Mohammad Farsi, Magnus Karlsson, Erik Agrell

In optical fiber communication, due to the random variation of the environment, the state of polarization (SOP) fluctuates randomly with time leading to distortion and performance…