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     Research Journal of Applied Sciences, Engineering and Technology


Optimization of Intensity Noise Reduction from an Incoherent Light Source Using Gain Saturated Semiconductor Optical Amplifier in a Spectrum-sliced Channel at 2.5 Gb\S

Kanar R. Tariq and David I. Forsyth
Photonics Technology Centre (PTC), Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  16:3387-3390
http://dx.doi.org/10.19026/rjaset.7.686  |  © The Author(s) 2014
Received: October 25, 2013  |  Accepted: November 30, 2013  |  Published: April 25, 2014

Abstract

The “spectrum-slicing” technique employing incoherent light has been shown to be a highly practical, cheap and hence very attractive proposal for future all-optical networks. In this study, the use of Semiconductor Optical Amplifier (SOA) gain saturation for intensity noise reduction of incoherent light is studied with a view to obtaining the optimum SOA injection current and input power conditions to achieve the best possible intensity noise reduction-in terms of OSNR, BER, noise power and Q-factor. The results reported herein give designers knowledge of the best SOA operating conditions to enhance overall system performance, while still obtaining signal gain from the SOA.

Keywords:

Amplified Spontaneous Emission (ASE), Bit Error Rate (BER), Optical Signal-to-Noise Ratio (OSNR), Quality (Q) factor, Semiconductor Optical Amplifier (SOA), spectrum-slicing,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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