Statistical characterization of the output of nonlinear power-cubic detection unit for ultrashort light pulse communication in the presence of Gaussian noise

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Ranjbar Zefreh, M

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Type of Document: Article
DOI: 10.1109/IWCIT.2015.7140215
Abstract:
In this paper, an accurate model for the probability density function (pdf) of the random decision variable Y in an ultrafast digital lightwave communication system, utilizing power-cubic all-optical nonlinear preprocessor is presented. The proposed model can replace the prevalent Gaussian approximation, as the accuracy of the latter is discredited by Monte-Carlo simulation. The Log-Pearson type-3 probability density function (LP3 pdf) is shown to appropriately represents the random decision variable Y. Three characteristic parameters of the LP3 pdf are also obtained through the three moments of the decision variable Y. Finally, the system error probability is revisited using the obtained LP3 pdf of the decision variable, the result of which is in excellent consistency with rigorous Monte-Carlo simulation
Keywords:
Decision making ; Gaussian noise (electronic) ; Information theory ; Intelligent systems ; Monte Carlo methods ; Nonlinear optics ; Optical communication ; Probability ; Accurate modeling ; Decision variables ; Gaussian approximations ; Lightwave communication system ; Probability density function (pdf) ; Statistical characterization ; System errors ; Ultra-short light pulse ; Probability density function
Source: IWCIT 2015 - Iran Workshop on Communication and Information Theory ; 2015 ; 9781479982356 (ISBN)
URL: http://ieeexplore.ieee.org/document/7140215