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Performance Analysis of Wavelength Converter based on Cross-Gain Modulation for Varying SOA Active Length using ANFIS

Published on April 2012 by Anu Sheetal, Sharanjeet Singh, Harjit Singh
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 1
April 2012
Authors: Anu Sheetal, Sharanjeet Singh, Harjit Singh
85fe2c8d-89a1-4f9c-b289-91b0df9cab18

Anu Sheetal, Sharanjeet Singh, Harjit Singh . Performance Analysis of Wavelength Converter based on Cross-Gain Modulation for Varying SOA Active Length using ANFIS. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 1 (April 2012), 29-32.

@article{
author = { Anu Sheetal, Sharanjeet Singh, Harjit Singh },
title = { Performance Analysis of Wavelength Converter based on Cross-Gain Modulation for Varying SOA Active Length using ANFIS },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 1 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 29-32 },
numpages = 4,
url = { /proceedings/irafit/number1/5850-1006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Anu Sheetal
%A Sharanjeet Singh
%A Harjit Singh
%T Performance Analysis of Wavelength Converter based on Cross-Gain Modulation for Varying SOA Active Length using ANFIS
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 1
%P 29-32
%D 2012
%I International Journal of Computer Applications
Abstract

In the present work, we investigate the impact of active length variation of Semiconductor Optical Amplifier (SOA) on the performance of wavelength converter based on cross-gain modulation (XGM) for different SOA active length up to 0.0004m. The system performance has been analyzed by varying input power from -9 to 10 dBm. It is found that the system gives optimum performance at SOA active length of 0.0003 m when input power is of 0 dBm beyond which it degrades. Further, the fuzzy model of the system is developed using ANFIS (Adaptive Neuro-Fuzzy Inference System), for varying input power and performance is evaluated by comparing simulated results with fuzzy model and good correlation is achieved between them.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Xgm Soa Fuzzy Logic Anfis