Stochastic model of polarization-dependent gain and gain fluctuations in fiber Raman amplifier with randomly varying birefringence

2007 ◽  
Author(s):  
Sergey Sergeyev ◽  
Sergei Popov ◽  
Ari T. Friberg
Keyword(s):  
Stochastic Model ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier ◽  
Randomly Varying Birefringence

A perturbation method for analysis of TDM-pumped fiber Raman amplifier

2009 ◽  
Vol 15 (4) ◽  
pp. 353-362
Author(s):  
A.R. Bahrampour ◽  
M. Farhadi ◽  
F. Farman
Keyword(s):  
Perturbation Method ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier

scholarly journals Pulsed-pump phosphorus-doped fiber Raman amplifier around 1260 nm for applications in quantum non-linear optics

2020 ◽  
Vol 28 (22) ◽  
pp. 32738
Author(s):  
Eilon Poem ◽  
Artem Golenchenko ◽  
Omri Davidson ◽  
Or Arenfrid ◽  
Ran Finkelstein ◽  
...  
Keyword(s):  
Linear Optics ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier ◽  
Non Linear Optics ◽  
Non Linear ◽  
Phosphorus Doped

Performance Optimization Based Spectrum Analysis on Optical Fiber Raman Amplifier with Backward Pumping

2012 ◽  
Vol 263-266 ◽  
pp. 1004-1007 ◽  
Author(s):  
Li Ying Liu ◽  
Yan Huang ◽  
Chun Yu Liu ◽  
Xin Ming Zhang ◽  
Jiu Ru Yang
Keyword(s):  
Optical Fiber ◽  
Spectrum Analysis ◽  
Performance Optimization ◽  
Low Cost ◽  
Low Complexity ◽  
Gain Bandwidth ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier ◽  
Output Performance ◽  
Output Characteristics

Optical fiber Raman amplifier (OFRA) with wide and flat gain bandwidth has been widely applied in the fields of optical communication, sensing and measurement. However, the performance optimization is always one of the hot topics in the study of OFRA, because its output characteristics are hardly dependent to some key designing parameters. In this paper, to overcome the problems above, we adopt a spectrum analysis based method to study the output performance of an OFRA system with backward pumping. By simulating the operation of the OFRA system, its output characteristics are first showed easily, with the advantages of real time, low cost, and low complexity. Further, according to the numerical results obtained, the optimal parameters of an OFRA system are determinate, and the performance in terms of output power, signal noise ratio, and the level of gain flatness is improved and optimized obviously.

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