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Optical Engineering

Performance analysis and comparison of multipump Raman and hybrid erbium-doped fiber amplifier + Raman amplifiers using nondominated sorting genetic algorithm optimization
Author(s): Helder R. de O. Rocha; Matheus O. L. Benincá; Carlos E. S. Castellani; Maria J. Pontes; Marcelo E. V. Segatto; Jair A. L. Silva
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Paper Abstract

This paper presents a performance analysis and comparison of optimized multipump Raman and hybrid erbium-doped fiber amplifier (EDFA) + Raman amplifiers, operating simultaneously at conventional (C) and long (L) bands, using multiobjective optimization based on evolutionary elitist nondominated sorting genetic algorithm. The amplifiers performance was measured in terms of on–off gain, ripple, optical signal-to-noise ratio (OSNR) and noise figure (NF), after propagating over 90 and 180 km of single-mode fiber (SMF). Numerical simulation results of the first analysis show that only three pumps are necessary to generate optimal gains in both amplifiers. Comparing the results of the second performance analysis, we conclude that, after 90 km SMF, the two amplifiers has the same on–off gain, if the total pump power (1807.1 mW) of the Raman amplifier is approximately double (100+994.7  mW) of the hybrid amplifier, when the EDFA is operating at 1480 nm with 5 m of doped fiber. Furthermore, the Raman amplifier needs a single laser with at most 741.1 mW, against 343.9 mW of the distributed Raman amplifier (DRA) pump in the hybrid system. Finally, the results of the last analysis, which considers only the EDFA + Raman amplifier, shows that with on–off gain of 26.14 dB, ripple close to 1.54 dB over a bandwidth of 66 nm and using three pumps lasers in the DRA the achieved OSNR was 39.6 dB with an NF lower than 3.3 dB, after 90 km of SMF.

Paper Details

Date Published: 8 August 2016
PDF: 7 pages
Opt. Eng. 55(8) 086103 doi: 10.1117/1.OE.55.8.086103
Published in: Optical Engineering Volume 55, Issue 8
Show Author Affiliations
Helder R. de O. Rocha, UFES (Brazil)
Matheus O. L. Benincá, UFES (Brazil)
Carlos E. S. Castellani, UFES (Brazil)
Maria J. Pontes, UFES (Brazil)
Marcelo E. V. Segatto, UFES (Brazil)
Jair A. L. Silva, UFES (Brazil)

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