Chromatic dispersion format for single-mode and multimode fibers

Author(s):  
FELIX P. KAPRON
1987 ◽  
Vol 5 (9) ◽  
pp. 1207-1213 ◽  
Author(s):  
A. Barlow ◽  
R. Jones ◽  
K. Forsyth

2019 ◽  
Vol 9 (20) ◽  
pp. 4332 ◽  
Author(s):  
Stenio M. Ranzini ◽  
Francesco Da Ros ◽  
Henning Bülow ◽  
Darko Zibar

In this paper, a machine learning-based tunable optical-digital signal processor is demonstrated for a short-reach optical communication system. The effect of fiber chromatic dispersion after square-law detection is mitigated using a hybrid structure, which shares the complexity between the optical and the digital domain. The optical part mitigates the chromatic dispersion by slicing the signal into small sub-bands and delaying them accordingly, before regrouping the signal again. The optimal delay is calculated in each scenario to minimize the bit error rate. The digital part is a nonlinear equalizer based on a neural network. The results are analyzed in terms of signal-to-noise penalty at the KP4 forward error correction threshold. The penalty is calculated with respect to a back-to-back transmission without equalization. Considering 32 GBd transmission and 0 dB penalty, the proposed hybrid solution shows chromatic dispersion mitigation up to 200 ps/nm (12 km of equivalent standard single-mode fiber length) for stage 1 of the hybrid module and roughly double for the second stage. A simplified version of the optical module is demonstrated with an approximated 1.5 dB penalty compared to the complete two-stage hybrid module. Chromatic dispersion tolerance for a fixed optical structure and a simpler configuration of the nonlinear equalizer is also investigated.


1987 ◽  
Author(s):  
Hanish R. D. Sunak ◽  
Steven P. Bastien ◽  
Alexis Mendez

1985 ◽  
Vol 21 (12) ◽  
pp. 524-525 ◽  
Author(s):  
K. Mochizuki ◽  
M. Fujise ◽  
H. Suzuki ◽  
M. Watanabe ◽  
M. Koishi ◽  
...  

2021 ◽  
Author(s):  
Nawell OULD-MOUSSA ◽  
Tigran Mansuryan ◽  
Charles-Henri Hage ◽  
Marc Fabert ◽  
Katarzyna Krupa ◽  
...  

Abstract Beam self-cleaning (BSC) in graded-index (GRIN) multimode fibers (MMFs) has been recently reported by different research groups. Driven by the interplay between Kerr effect and beam self-imaging, BSC counteracts random mode coupling, and forces laser beams to recover a quasi-single mode profile at the output of GRIN fibers. Here we show that the associated self-induced spatiotemporal reshaping allows for improving the performances of nonlinear fluorescence (NF) microscopy and endoscopy using multimode optical fibers. We experimentally demonstrate that the beam brightness increase, induced by self-cleaning, enables two and three-photon imaging of biological samples with high spatial resolution. Temporal pulse shortening accompanying spatial beam clean-up enhances the output peak power, hence the efficiency of nonlinear imaging. We also show that spatiotemporal supercontinuum (SC) generation is well-suited for large-band NF imaging in visible and infrared domains. We substantiated our findings by multiphoton fluorescence imaging in both microscopy and endoscopy configurations.


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