Efficient evaluation of impairment induced by distributed fiber Raman amplifier using error vector magnitude techniques in unrepeated coherent communication system

2016 ◽  
Vol 368 ◽  
pp. 155-159 ◽  
Author(s):  
Yuanyuan Shan ◽  
Junqiang Sun
Keyword(s):  
Communication System ◽  
Error Vector Magnitude ◽  
Error Vector ◽  
Raman Amplifier ◽  
Fiber Raman Amplifier ◽  
Coherent Communication ◽  
Vector Magnitude

scholarly journals Error Vector Magnitude Analysis in Generalized Fading With Co-Channel Interference

2018 ◽  
Vol 66 (1) ◽  
pp. 345-354 ◽  
Author(s):  
Sudharsan Parthasarathy ◽  
Suman Kumar ◽  
Radha Krishna Ganti ◽  
Sheetal Kalyani ◽  
K. Giridhar
Keyword(s):  
Error Vector Magnitude ◽  
Error Vector ◽  
Channel Interference ◽  
Vector Magnitude

scholarly journals A Channel Model to Deal with Distributed Noises and Nonlinear Effects in a Fiber System with Distributed Raman Amplifiers

2019 ◽  
Vol 10 (1) ◽  
pp. 133
Author(s):  
Yao Xie ◽  
Qiguang Feng ◽  
Wei Li ◽  
Qiang Zheng ◽  
You Wang
Keyword(s):  
Channel Model ◽  
Nonlinear Effects ◽  
Critical Issue ◽  
Error Vector Magnitude ◽  
Fiber System ◽  
Fiber Raman Amplifier ◽  
Raman Amplifiers ◽  
Gain Dispersion ◽  
Lower Noise ◽  
Vector Magnitude

Nowadays, the distributed fiber Raman amplifier (FRA) has become more and more popular in long-haul fiber systems, owing to its lower noise figures and weaker nonlinear effects in the link. The critical issue in distributed FRAs is the presence of various kinds of noises and their interactions with the signal. However, the existing Raman channel models and their numerical solving methods can only partially describe how the randomly distributed noises interact with the signal. This causes the difficulties in analyzing the distributed FRA precisely and the inconveniences for the applications and the maintenance of FRA systems. In this paper, we propose a modified Raman channel model to describe more comprehensively the interactions between the distributed noises and the signal under the influence of loss, distributed gain, dispersion, and nonlinear effects in the distributed FRA systems. With the comparisons of the error–vector magnitude (EVM) curves, our model can get lower errors in the experimental results regarding bidirectional pumped FRA single-span fiber systems and multi-span systems with backward-pumped FRAs.

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