Noise Loading Analysis in FDM Systems

Maqusi, Mohammad

doi:10.1109/tcom.1985.1096241

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2012

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“…Some papers have discussed the noise loading analysis when the nonlinearities are modeled as memoryless [1][2][3] . Maqusi applied the Volterra series representation of nonlinearities in the noise loading analysis to model memory in nonlinear systems [4] . (Unfortunately, 'noise loading' has been used for a different meaning in optical communication systems.…”

Section: Introductionmentioning

confidence: 99%

Noise Loading Analysis using Volterra Kernels to Characterize Fiber Nonlinearities

Lee

2012

Korean Journal of Optics and Photonics

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We derive analytical expressions for the output spectral density and the noise power Pβ in noise loading analysis using Volterra kernels to characterize fiber nonlinearities. The bandwidth of the input noise source has little effect on Pβ , but the power of the input noise source and the dispersion parameter value of the fiber have a significant effect on Pβ . The Volterra method predicts    = 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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