Raman crosstalk cancellation in wavelength-division multiplexing by using neural networks

Ramon M. Rodriguez-Dagnino; Jose A. Faz-Gomez; Ignacio Larraga-Orozco

doi:10.1117/1.1569493

1 June 2003 Raman crosstalk cancellation in wavelength-division multiplexing by using neural networks

Ramon M. Rodriguez-Dagnino, Jose A. Faz-Gomez, Ignacio Larraga-Orozco

Optical Engineering, Vol. 42, Issue 6, (June 2003). https://doi.org/10.1117/1.1569493

In wavelength-division multiplexing (WDM) optical systems, as the number of users is increased, the crosstalk becomes more severe due to imperfections in the passive optical filters (gratings) and nonlinear effects due to the power increasing in the optical fiber. We consider only stimulated Raman scattering (SRS) as the nonlinear degradation in this multichannel system. We propose an adaptive neural network algorithm based on back-propagation networks to mitigate these crosstalk problems. We also show that the back-propagation neural network algorithm has a better performance than the least mean squares (LMS) algorithm.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Ramon M. Rodriguez-Dagnino, Jose A. Faz-Gomez, and Ignacio Larraga-Orozco "Raman crosstalk cancellation in wavelength-division multiplexing by using neural networks," Optical Engineering 42(6), (1 June 2003). https://doi.org/10.1117/1.1569493

Published: 1 June 2003

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