Chromatic Dispersion Characteristics of Single-Mode Mid-Infrared Fibers

1987 ◽  
Author(s):  
Alexis Mendez ◽  
Harish R. D. Sunak
Keyword(s):  
Chromatic Dispersion ◽  
Single Mode ◽  
Dispersion Characteristics ◽  
Mid Infrared

Dispersion properties of single-mode optical fibers in telecommunication region: poly (methyl methacrylate) (PMMA) versus silica

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Hassan Pakarzadeh ◽  
Seyed Mostafa Rezaei ◽  
Mostafa Taghizadeh ◽  
Forough Bozorgzadeh
Keyword(s):  
Methyl Methacrylate ◽  
Optical Fibers ◽  
Spectral Range ◽  
Structural Parameters ◽  
Practical Importance ◽  
Single Mode ◽  
Dispersion Characteristics ◽  
Poly Methyl Methacrylate ◽  
Dispersion Wavelength ◽  
Zero Dispersion Wavelength

AbstractIn this paper, the dispersion characteristics of two standard single-mode optical fibers (SMFs), fabricated with silica and poly (methyl methacrylate) (PMMA) are studied in telecommunication spectral regions. The effect of structural parameters, such as the radius of the fiber core and the relative core-cladding index difference, is numerically investigated. It is found that over whole spectral range, the PMMA-based SMF shows lower dispersion than the silica SMF. Also, the zero-dispersion wavelength (ZDW) of PMMA-based SMF is longer than that of silica fiber. The results may be of practical importance for the telecommunication applications.

Highly stable, monolithic, single-mode mid-infrared supercontinuum source based on low-loss fusion spliced silica and fluoride fibers

2016 ◽  
Vol 41 (5) ◽  
pp. 946 ◽  
Author(s):  
Ke Yin ◽  
Bin Zhang ◽  
Jinmei Yao ◽  
Linyong Yang ◽  
Shengping Chen ◽  
...  
Keyword(s):  
Single Mode ◽  
Low Loss ◽  
Mid Infrared

Single-mode mid-infrared lasers for gas sensing in the 2–4um range

2011 ◽  
Author(s):  
J. A. Gupta ◽  
P. J. Barrios ◽  
A. Bezinger ◽  
P. Waldron ◽  
B. F. Ventrudo ◽  
...  
Keyword(s):  
Gas Sensing ◽  
Single Mode ◽  
Infrared Lasers ◽  
Mid Infrared

scholarly journals Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission

2019 ◽  
Vol 9 (20) ◽  
pp. 4332 ◽  
Author(s):  
Stenio M. Ranzini ◽  
Francesco Da Ros ◽  
Henning Bülow ◽  
Darko Zibar
Keyword(s):  
Machine Learning ◽  
Digital Signal Processor ◽  
Forward Error Correction ◽  
Dispersion Compensation ◽  
Chromatic Dispersion ◽  
Digital Signal ◽  
Single Mode ◽  
Hybrid Structure ◽  
Optical Module ◽  
Hybrid Module

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.

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