Efficient Bayesian Filtering Method for Frequency Comb Phase Noise Characterization

A generalized comb characterization method using the extended Kalman filter is presented. Using advanced optimization methods, a latent space phase noise decomposition of the comb line phase noise is learned from a single multi-heterodyne measurement. © 2024 The Author(s)

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Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676547
Primary Topic
Advanced Fiber Laser Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient Bayesian Filtering Method for Frequency Comb Phase Noise Characterization

Darko Zibar, Holger R. Heebøll, Jasper Riebesehl, Aleksandr Razumov et al.
1 links
Advanced Fiber Laser Technologies
article

Efficient Bayesian Filtering Method for Frequency Comb Phase Noise Characterization

Darko Zibar, Holger R. Heebøll, Jasper Riebesehl, Aleksandr Razumov, Michael Galili
article en

Abstract

A generalized comb characterization method using the extended Kalman filter is presented. Using advanced optimization methods, a latent space phase noise decomposition of the comb line phase noise is learned from a single multi-heterodyne measurement. © 2024 The Author(s)

Technical University of Denmark (DK)
Villum Fonden
Affordable and clean energy
Openalex Percentile: Top 86%
Advanced Fiber Laser Technologies
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