Korean Journal of Optics and Photonics (한국광학회지)

Optical Society of Korea (한국광학회)
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Noise Loading Analysis using Volterra Kernels to Characterize Fiber Nonlinearities

  • Lee, Jong-Hyung (Department of Electronic Engineering, Dongeui University)
  • Received : 2012.10.29
  • Accepted : 2012.12.04
  • Published : 2012.12.25
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Abstract

We derive analytical expressions for the output spectral density and the noise power $P_{\beta}$ in noise loading analysis using Volterra kernels to characterize fiber nonlinearities. The bandwidth of the input noise source has little effect on $P_{\beta}$, but the power of the input noise source and the dispersion parameter value of the fiber have a significant effect on $P_{\beta}$. The Volterra method predicts ${\Delta}P_{\beta}[dB]$ = 30 dB/decade, which agrees very accurately over a wide range of fiber parameters compared with the numerical results by the split-step Fourier method. Therefore the Volterra method could be useful to predict the performance of a dense WDM system when we plan to upgrade fiber or increase signal power.

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References

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