Multi parameter optimization of Raman Fiber Amplifier using genetic algorithm for S band dense wavelength division multiplexed system

Singh, Simranjit; Saini, Sonak; Kaler, R.S.; Kaur, Ramandeep

doi:10.1016/j.ijleo.2014.04.087

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Genetic Algorithm and Its Implementation1

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2014

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“…It allows a population composed of many individuals to evolve to a state that maximizes the "fitness" under specified selection rules. The introduction, rules and implementation can be found in [16][17][18].…”

Section: Genetic Algorithm and Its Implementationmentioning

confidence: 99%

On the Optimization of Raman Fiber Amplifier using Genetic Algorithm in the Scenario of a 64 nm 320 Channels Dense Wavelength Division Multiplexed System

Singh¹,

Saini²,

Kaur³

et al. 2014

Journal of the Optical Society of Korea

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For multi parameter optimization of Raman Fiber Amplifier (RFA), a simple genetic algorithm is presented in the scenario of a 320 channel Dense Wavelength Division Multiplexed (DWDM) system at channel spacing of 25 GHz. The large average gain (> 22 dB) is observed from optimized RFA with the optimized parameters, such as 39.6 km of Raman length with counter-propagating pumps tuned to 205.5 THz and 211.9 THz at pump powers of 234.3 mW, 677.1 mW respectively. The gain flattening filter (GFF) has also been optimized to further reduce the gain ripple across the frequency range from 190 to 197.975 THz for broadband amplification.

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Section: Genetic Algorithm and Its Implementationmentioning

confidence: 99%