Optical parallel processing approach to all-order PMD compensation

Weiner, Andrew M.; Akbulut, Mehmetcan; Wang, S.X.; Miller, Peter J.

doi:10.1109/ofc.2006.215467

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, with the increases in the bandwidth of telecommunication systems, the effects of higher order PMD have become more highlighted. Therefore, the investigation of higher order PMD compensation (PMDC) and higher order PMD measurement techniques have been more prominent recently [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

Applying the data fusion method to evaluation of the performance of two control signals in monitoring polarization mode dispersion effects in fiber optic links

Moghari

Rezaei

Habibalahi

2015

J. Eur. Opt. Soc.-Rapid Publ.

View full text Add to dashboard Cite

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 (DOP min and DOP ave 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.

show abstract

Section: Introductionmentioning

confidence: 99%