We present a detailed statistical model of nonlinear interference noise (NLIN) in optical communication systems. We demonstrate an efficient method of calculating 2nd order statistics of the NLIN coefficients, particularly their temporal autocorrelation and cross-correlation. The model is highly accurate in predicting system performance metrics such as bit-errorrate and signal-to-noise ratio, and is shown to provide better accuracy with respect to models that use the NLIN variance alone, particularly when accounting for the adaptive filtering of realistic receivers.
We demonstrate a method for experimentally characterizing the second order statistics of nonlinear interference noise (NLIN) as an intersymbol interference (ISI) process. The method enables measurement of the properties of high-order ISI coefficients, which have been largely overlooked in the past. The ability of measuring these statistics is imperative for designing effective NLIN mitigation schemes. The variance, temporal correlation times, and cross correlations of the various ISI coefficients are evaluated in several system implementations.
We study the nonlinear interference noise (NLIN) generated in SDM systems, and generalize the NLIN model introduced in the context of single-mode fibers to the multi-mode case. The generalized model accounts for the modulation-format dependence of the NLIN, and gives the scaling of the NLIN power with the number of transmitted modes. It also provides the tools for extending the results of the NLIN Wizard to SDM. Unlike in the case of single-mode systems, the effect of MD cannot in general be ignored in the SDM case. We show that inclusion of MD erases the contribution of FWM effects, and significantly suppresses the effect of XPM.
Spectral processor based on arrayed waveguide grating and free-space manipulation is capable of arbitrary filtering at record metrics of 0.8GHz resolution over 200GHz span. Narrowband coherent drop-demultiplexing and controlled optical shaping is demonstrated in unison with digital sub-banding.
IntroductionLinear optical signal processing operations can assist optical communications in performing myriads of operations such as wavelength multiplexing, wavelength selective switching (WSS), and complex spectral filtering for channel selection, dispersion compensation, and signal shaping. Adaptive filtering operations are particularly of interest, enabling tuning of the center wavelength, bandwidth, dispersion compensation level and signal formats. Performing these operations with a spatial light modulator (SLM) operating on spatially dispersed light has been demonstrated [1-3]. These and similar experiments are based on a WSS platform, using a dispersive free-space optics arrangement with a bulk diffraction grating and lenses, and replacing a micro-mirror SLM [4] with a liquid-crystal on silicon (LCoS) SLM [5]. The performance of these instruments is set by the spectral resolution of the dispersing arrangement (typically 8-10GHz) and the pixel pitch determining spectral addressability (few GHz). Improved performance metrics can be obtained by replacing the bulk diffraction grating with an arrayed waveguide grating (AWG) [6,7], which is designed to provide higher dispersion values over a finite free spectral range (FSR). In this work we demonstrate ×10 improvement in the photonic spectral processor performance,
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