Polarizasyon kipi saçılımı öykünmesi: Ayrık zamanlı modeller ve rassal parametre örneklemesi

We present continuous and discrete-time models of polarization mode dispersion (PMD) in single-mode optical fibers and random parameter sampling schemes for these models for accurate and low-complexity PMD emulation.Our discussion on continuous-time PMD emulation builds upon an earlier work, which uses model reduction techniques and Markov chain Monte Carlo (MCMC) methods. Here we develop an improved model parameter sampling procedure to generate continuous-time reduced complexity models making use of the proposed compensated MCMC method.As the main contribution of this thesis, we present a discrete time PMD emulation scheme that is on a par with the emerging coherent receiver techniques based on digital signal processing algorithms.This scheme uses multiple-input multiple-output (MIMO) FIR filters that are lossless and therefore lend themselves as perfect candidates for emulation of fiber channels suffering from PMD.The concatenated composition of these filters resembles the continuous time lumped model of PMD channels and offers a flexible emulator structure in terms of computational complexity which constitutes the main bottleneck for real-time DSP applications.The parameter sampling problem for accurate PMD emulation considering the required statistical behavior of a PMD emulator is tackled using three different approaches, which are introduced in order of decreasing deviation from the desired statistics and increasing computational complexity.