Channel monitoring for optical WDM networks
Channel monitoring is an essential topic for optical WDM channels. In the first part of this thesis, a novel bit error rate (BER) estimation technique based on multi-Gaussian curve fitting on amplitude histogram is proposed. Computer simulations are carried out to verify the effectiveness of the new...
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sg-ntu-dr.10356-38692023-07-04T17:36:58Z Channel monitoring for optical WDM networks Ye, Dan Zhong Wende School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Channel monitoring is an essential topic for optical WDM channels. In the first part of this thesis, a novel bit error rate (BER) estimation technique based on multi-Gaussian curve fitting on amplitude histogram is proposed. Computer simulations are carried out to verify the effectiveness of the new method. The results show that the new method can achieve better accuracy in estimating BER over the conventional method especially when the signal is severely distorted. In the second part of the thesis, a novel method of channel impairments identification is proposed. The distorted amplitude histograms are characterized using X2 distance metrics. The results show that this method can effectively identify three major impairments, namely ASE noise, chromatic dispersion and inband crosstalk. MASTER OF ENGINEERING (EEE) 2008-09-17T09:39:24Z 2008-09-17T09:39:24Z 2007 2007 Thesis Ye, D. (2007). Channel monitoring for optical WDM networks. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3869 10.32657/10356/3869 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Ye, Dan Channel monitoring for optical WDM networks |
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Channel monitoring is an essential topic for optical WDM channels. In the first part of this thesis, a novel bit error rate (BER) estimation technique based on multi-Gaussian curve fitting on amplitude histogram is proposed. Computer simulations are carried out to verify the effectiveness of the new method. The results show that the new method can achieve better accuracy in estimating BER over the conventional method especially when the signal is severely distorted. In the second part of the thesis, a novel method of channel impairments identification is proposed. The distorted amplitude histograms are characterized using X2 distance metrics. The results show that this method can effectively identify three major impairments, namely ASE noise, chromatic dispersion and inband crosstalk. |
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Zhong Wende |
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Zhong Wende Ye, Dan |
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Theses and Dissertations |
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Ye, Dan |
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Ye, Dan |
title |
Channel monitoring for optical WDM networks |
title_short |
Channel monitoring for optical WDM networks |
title_full |
Channel monitoring for optical WDM networks |
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Channel monitoring for optical WDM networks |
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Channel monitoring for optical WDM networks |
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channel monitoring for optical wdm networks |
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2008 |
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https://hdl.handle.net/10356/3869 |
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1772825401617285120 |