Issue |
J. Eur. Opt. Soc.-Rapid Publ.
Volume 10, 2015
|
|
---|---|---|
Article Number | 15008 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.2971/jeos.2015.15008 | |
Published online | 19 February 2015 |
Regular paper
Applying the data fusion method to evaluation of the performance of two control signals in monitoring polarization mode dispersion effects in fiber optic links
1
Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran
2
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
* dashtbani.2009@gmail.com
** prezaei@semnan.ac.ir
*** a.habibalahi@gmail.com
Received:
3
December
2014
Revised:
25
January
2015
With increasing distance and bit rate in fiber optic links the effects of polarization mode dispersion (PMD) have been highlighted. Since PMD has a statistical nature, using a control signal that can provide accurate information to dynamically tune a PMD compensator is of great importance. In this paper, we apply the data fusion method with the aim of introducing a method that can be used to evaluate more accurately the performance of control signals before applying them in a PMD compensation system. Firstly, the minimum and average degree of polarization (DOPmin and DOPave respectively) as control signals in monitoring differential group delay (DGD) for a system including all-order PMD are calculated. Then, features including the amounts of sensitivity and ambiguity in DGD monitoring are calculated for NRZ data format as DGD to bit time (DGD/T) varies. It is shown that each of the control signals mentioned has both positive and negative features for efficient DGD monitoring. Therefore, in order to evaluate features concurrently and increase reliability, we employ data fusion to fuse features of each control signal, which makes evaluating and predicting the performance of control signals possible, before applying them in a real PMD compensation system. Finally, the reliability of the results obtained from data fusion is tested in a typical PMD compensator.
Key words: Data fusion / decision making / polarization mode dispersion (PMD) / degree of polarization (DOP) / differential group delay (DGD)
© The Author(s) 2015. All rights reserved.
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