| Περίληψη: | Polarization mode dispersion (PMD) arises as a result of the birefringence in optical fibers, due to inherent asymmetries and deformities from external stresses. The spectral components of the input optical pulse propagate with different group velocities. Consequently, pulse duration increases leading to intersymbol interference between consequent symbols, leading to performance reduction of the coherent systems. In order to compensate for the PMD, we use adaptive linear PMD equalizers.
Due to the dynamic and random nature of PMD, it is crucial for a system designer to efficiently simulate the PMD-induced outage probabilities of 10-5. Because of this stringent requirement, it is computationally costly to use the conventional Monte Carlo methods. To overcome this hurdle, Importance Sampling methods, such as the multicanonical Monte Carlo method have been applied in the past in order to efficiently reduce the simulation time required to estimate the statistics of these rare events. The multicanonical Monte Carlo method does not require any prior knowledge of which rare events contribute significantly to the PMD-induced outages. In essence, multicanonical Monte Carlo simulations adaptively bias the input random variables with a priori unknown weights. The PMD emulation model consists of a concatenation of birefringent sections, simulated based on MMC.
The objective of this dissertation is to apply, for the first time, the multicanonical Monte Carlo method to accurately and efficiently evaluate the performance of adaptive, blind, feed-forward PMD equalizers employed in coherent polarization division multiplexed (PDM) quadrature phase-shift keying (QPSK) systems in all order PMD emulation model. In the exclusive presence of PMD, we demonstrated that the half-symbol-period-spaced adaptive electronic equalizers, based on the constant modulus algorithm (CMA) equalizers perform slightly better than the decision directed least mean square (DD-LMS) counterparts at links with larger PMD values, whereas the opposite holds true for the low PMD regime. Due to their distinguishable performance in different regimes of the PMD, they provided an even better performance when running DD-LMS after a first round of CMA-based equalization than using either one of the equalization algorithms stand alone. Finally, the joint presence of PMD and intermediate frequency offset or PMD and random differential phase carrier shifts slightly worsened the performance of the coherent PDM QPSK systems, independently of the equalizer. Although these random differential carrier phase shifts are typically omitted in similar PMD studies in intensity modulated/direct detection (IM/DD) systems, they should be taken into account in due to the phase sensitivity of the PDM QPSK coherent systems.
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