[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3807/KJOP.2012.23.6.246

Noise Loading Analysis using Volterra Kernels to Characterize Fiber Nonlinearities

Lee, Jong-Hyung (Department of Electronic Engineering, Dongeui University)

Publication Information

Korean Journal of Optics and Photonics / v.23, no.6, 2012 , pp. 246-250 More about this Journal

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.

Keywords

Fiber nonlinearities; Noise loading analysis; Volterra kernel; Split-step Fourier;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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