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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 9 — Apr. 23, 2012
  • pp: 9851–9861

Optical performance monitoring using the novel parametric asynchronous eye diagram

Vìtor Ribeiro, Liliana Costa, Mário Lima, and António L. J. Teixeira  »View Author Affiliations

Optics Express, Vol. 20, Issue 9, pp. 9851-9861 (2012)

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In this paper we present a novel technique, based in what we have called Parametric Asynchronous Eye Diagram (PAED). We have used a simulation scheme, which includes a differentiator and an Artificial Neural Network to monitor simultaneously several impairments such as Chromatic Dispersion, Polarization Mode Dispersion and Optical Signal to Noise Ratio. A number of modulation formats, including NRZ, RZ and QPSK is used in the computation of results. This paper also demonstrates the effectiveness of this technique in monitoring with one single device, mixed traffic, with different bit rates and On-Off Keying (OOK) modulation formats traveling through the network.

© 2012 OSA

OCIS Codes
(060.2330) Fiber optics and optical communications : Fiber optics communications
(100.4996) Image processing : Pattern recognition, neural networks

ToC Category:
Fiber Optics and Optical Communications

Original Manuscript: January 26, 2012
Revised Manuscript: April 4, 2012
Manuscript Accepted: April 5, 2012
Published: April 16, 2012

Vìtor Ribeiro, Liliana Costa, Mário Lima, and António L. J. Teixeira, "Optical performance monitoring using the novel parametric asynchronous eye diagram," Opt. Express 20, 9851-9861 (2012)

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  1. V. Ribeiro, L. Costa, A. Teixeira, R. Nogueira, and M. Lima, “Chromatic-dispersion-monitoring scheme using a mach-zehnder interferometer and q-factor calculation,” J. Opt. Commun. Netw. 2, 10–19 (2010). [CrossRef]
  2. A. Campillo, “Chromatic dispersion-monitoring technique based on phase-sensitive detection,” IEEE Photon. Technol. Lett. 17, 1241–1243 (2005). [CrossRef]
  3. P. Westbrook, B. Eggleton, G. Raybon, S. Hunsche, and T. H. Her, “Measurement of residual chromatic dispersion of a 40-gb/s rz signal via spectral broadening,” IEEE Photon. Technol. Lett. 14, 346–348 (2002). [CrossRef]
  4. S. M. R. M. Nezam, Y.-W. Song, C. Yu, J. E. McGeehan, A. B. Sahin, and A. E. Willner, “First-order pmd monitoring for nrz data using rf clock regeneration techniques,” J. Lightwave Technol. 22, 1086 (2004). [CrossRef]
  5. F. Khan, A. Lau, Z. Li, C. Lu, and P. Wai, “Osnr monitoring for rz-dqpsk systems using half-symbol delay-tap sampling technique,” IEEE Photon. Technol. Lett. 22, 823–825 (2010). [CrossRef]
  6. R. S. Luís, A. Teixeira, and P. Monteiro, “Optical signal-to-noise ratio estimation using reference asynchronous histograms,” J. Lightwave Technol. 27, 731–743 (2009). [CrossRef]
  7. T. Anderson, A. Kowalczyk, K. Clarke, S. Dods, D. Hewitt, and J. Li, “Multi impairment monitoring for optical networks,” J. Lightwave Technol. 27, 3729–3736 (2009). [CrossRef]
  8. J. A. Jargon, X. Wu, and A. E. Willner, “Optical performance monitoring by use of artificial neural networks trained with parameters derived from delay-tap asynchronous sampling,” in “Optical Fiber Communication Conference,” (Optical Society of America, 2009), paper OThH1.
  9. T. Anderson, S. Dods, A. Kowalczyk, J. Bedo, and K. P. Clarke, “Method and apparatus for sampled optical signal monitoring,” United States Patent and Trademark Office, (2009). Patent Application.
  10. J. Jargon, X. Wu, and A. Willner, “Optical performance monitoring using artificial neural networks trained with eye-diagram parameters,” IEEE Photon. Technol. Lett. 21, 54–56 (2009). [CrossRef]
  11. S. Wielandy, M. Fishteyn, and B. Zhu, “Optical performance monitoring using nonlinear detection,” J. Lightwave Technol. 22, 784–793 (2004). [CrossRef]
  12. J.-Y. Yang, L. Zhang, Y. Yue, J. Jackel, A. Agarwal, L. Paraschis, and A. E. Willner, “Cd-insensitive pmd monitoring of a high-speed polarization-multiplexed data channel,” Opt. Express 17, 18171–18177 (2009). [CrossRef] [PubMed]
  13. T. Shen, K. Meng, A. Lau, and Z. Y. Dong, “Optical performance monitoring using artificial neural network trained with asynchronous amplitude histograms,” IEEE Photon. Technol. Lett. 22, 1665–1667 (2010).
  14. X. Wu, J. Jargon, L. Paraschis, and A. Willner, “Ann-based optical performance monitoring of qpsk signals using parameters derived from balanced-detected asynchronous diagrams,” IEEE Photon. Technol. Lett. 23, 248–250 (2011). [CrossRef]
  15. X. Wu, J. Jargon, R. Skoog, L. Paraschis, and A. Willner, “Applications of artificial neural networks in optical performance monitoring,” J. Lightwave Technol. 27, 3580–3589 (2009). [CrossRef]
  16. V. M. Ribeiro, M. Lima, and A. Teixeira, “Parametric asynchronous eye diagram for optical performance monitoring,” in “Optical Fiber Communication Conference,” (Optical Society of America, 2012), paper JW2A.33.
  17. H. Wang, K.-Y. Lin, Z.-M. Tsai, L.-H. Lu, H.-C. Lu, C.-H. Wang, J.-H. Tsai, T.-W. Huang, and Y.-C. Lin, “Mmics in the millimeter-wave regime,” IEEE Microw. Mag. 10, 99–117 (2009). [CrossRef]
  18. P. Velanas, A. Bogris, A. Argyris, and D. Syvridis, “High-speed all-optical first- and second-order differentiators based on cross-phase modulation in fibers,” J. Lightwave Technol. 26, 3269–3276 (2008). [CrossRef]
  19. M. Kulishov and J. A. na, “Long-period fiber gratings as ultrafast optical differentiators,” Opt. Lett. 30, 2700–2702 (2005). [CrossRef] [PubMed]
  20. M. Li and J. Yao, “Multichannel photonic temporal differentiator for wavelength-division-multiplexed signal processing using a single fiber bragg grating,” in “Microwave Photonics (MWP), 2010 IEEE Topical Meeting on,” (2010), pp. 269–272.
  21. Y. Park, J. A. na, and R. Slavík, “Ultrafast all-optical first- and higher-order differentiators based on interferometers,” Opt. Lett. 32, 710–712 (2007). [CrossRef] [PubMed]
  22. Q.-J. Zhang, K. Gupta, and V. Devabhaktuni, “Artificial neural networks for rf and microwave design - from theory to practice,” IEEE Trans. Microw. Theory 51, 1339–1350 (2003). [CrossRef]
  23. J. Misra and I. Saha, “Artificial neural networks in hardware: A survey of two decades of progress,” Neurocomputing 74, 239–255 (2010). [CrossRef]

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