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

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

ㆍ 저자명: Singh. Simranjit,Saini. Sonak,Kaur. Gurpreet,Kaler. Rajinder Singh
ㆍ 간행물명: Journal of the Optical Society of Korea
ㆍ 권/호정보: 2014년|18권 2호|pp.118-123 (6 pages)
ㆍ 발행정보: 한국광학회
ㆍ 파일정보: 정기간행물|ENG|
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ㆍ 주제분야: 기타

이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.

서지반출

기타언어초록

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.

키워드

Genetic Algorithm (GA)Raman Fiber Amplifier (RFA)Dense Wavelength Division Multiplexed (DWDM) system Gain Flattening Filter (GFF)

다운URL