Statistical Analysis of Modal Dispersion in Field-Installed Coupled-Core Fiber Link Article Swipe
Martina Cappelletti
,
Mikael Mazur
,
Nicolas K. Fontaine
,
Roland Ryf
,
Tetsuya Hayashi
,
Antonio Mecozzi
,
Marco Santagiustina
,
Andrea Galtarossa
,
Cristian Antonelli
,
Luca Palmieri
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jlt.2024.3361088
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jlt.2024.3361088
This article presents a statistical analysis of modal dispersion of a 69-km-long field-deployed coupled-core four-core fiber link. The link is characterized over a band of approximately 5 THz at 1550 nm, in terms of complex modal dispersion vector, eigenvalues of its modal dispersion matrix, and intensity impulse response. Experimental statistical results are in very good agreement with the theoretical models based on the assumption of strong mode mixing. We also show that a careful analysis of the modal dispersion vector enables the accurate assessment of the skew between channels, distinguishing the contribution of the input patch cords from that of the output ones. Notably, we show that the Stokes-space representation of modal dispersion allows to compensate for the delays introduced at the fiber input and output by the optical vector network analyzer used for measurements. In addition, we provide evidence and theoretical justification of spectral persistence of the principal states in fibers with strong mode mixing. That is, although the modal content and the group delays of the principal modes change from frequency to frequency, the sorting of the principal modes with respect to their group delays is largely frequency independent.
Related Topics
Concepts
Modal dispersion
Core (optical fiber)
Dispersion (optics)
Link (geometry)
Modal
Optical fiber
Statistical analysis
Field (mathematics)
Optics
Electronic engineering
Physics
Telecommunications
Engineering
Dispersion-shifted fiber
Computer science
Materials science
Mathematics
Fiber optic sensor
Statistics
Computer network
Polymer chemistry
Pure mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jlt.2024.3361088
- https://ieeexplore.ieee.org/ielx7/50/4357488/10418258.pdf
- OA Status
- bronze
- Cited By
- 11
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391454443
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391454443Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jlt.2024.3361088Digital Object Identifier
- Title
-
Statistical Analysis of Modal Dispersion in Field-Installed Coupled-Core Fiber LinkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-01Full publication date if available
- Authors
-
Martina Cappelletti, Mikael Mazur, Nicolas K. Fontaine, Roland Ryf, Tetsuya Hayashi, Antonio Mecozzi, Marco Santagiustina, Andrea Galtarossa, Cristian Antonelli, Luca PalmieriList of authors in order
- Landing page
-
https://doi.org/10.1109/jlt.2024.3361088Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/50/4357488/10418258.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/50/4357488/10418258.pdfDirect OA link when available
- Concepts
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Modal dispersion, Core (optical fiber), Dispersion (optics), Link (geometry), Modal, Optical fiber, Statistical analysis, Field (mathematics), Optics, Electronic engineering, Physics, Telecommunications, Engineering, Dispersion-shifted fiber, Computer science, Materials science, Mathematics, Fiber optic sensor, Statistics, Computer network, Polymer chemistry, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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