Statistical Properties of Nonlinear Phase Noise

Abstract

The statistical properties of nonlinear phase noise, often called the Gordon-Mollenauer effect, is studied analytically when the number of fiber spans is very large. The joint characteristic functions of the nonlinear phase noise with electric field, received intensity, and the phase of amplifier noise are all derived analytically. Based on the joint characteristic function of nonlinear phase noise with the phase of amplifier noise, the error probability of signal having nonlinear phase noise is calculated using the Fourier series expansion of the probability density function. The error probability is increased due to the dependence between nonlinear phase noise and the phase of amplifier noise. When the received intensity is used to compensate the nonlinear phase noise, the optimal linear and nonlinear minimum mean-square error compensators are derived analytically using the joint characteristic function of nonlinear phase noise and received intensity. Using the joint probability density of received amplitude and phase, the optimal maximum a posteriori probability detector is derived analytically. The nonlinear compensator always performs better than linear compensator.