Abstract
We propose a stochastic bit error ratio estimation approach based on a statistical analysis of the retrieved signal phase for coherent optical QPSK systems with digital carrier phase recovery. A family of the generalized exponential function is applied to fit the probability density function of the signal samples. The method provides reasonable performance estimation in presence of both linear and nonlinear transmission impairments while reduces the computational intensity greatly compared to Monte Carlo simulation.
Highlights
Digital signal processing (DSP) based coherent detection quadrature-phase-shift-keying (QPSK) is a key candidate for long-haul optical transmission systems [1,2]
In this paper we propose a stochastic bit error ratio (BER) estimation approach based on a statistical analysis of the probability density function (PDF) of the recovered signal phase after carrier phase recovery (CPR)
We use the generalized exponential function (GEF) to fit the phase noise of the received signals, which provides a smoothed estimator of the PDF in the analytical form
Summary
Digital signal processing (DSP) based coherent detection quadrature-phase-shift-keying (QPSK) is a key candidate for long-haul optical transmission systems [1,2]. Very few methods are currently available to estimate the bit error ratio (BER) of coherent systems with digital CPR. For nonlinear optical fiber transmission of such systems, the noise is no longer Gaussian distributed and it is difficult to obtain analytical BER expression to evaluate the system performance. In this paper we propose a stochastic BER estimation approach based on a statistical analysis of the probability density function (PDF) of the recovered signal phase after CPR.
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