An Electronic Domain Chromatic Dispersion Monitoring Scheme Insensitive to OSNR Using Kurtosis

Abstract

In this paper we present an electronic domain solution for chromatic dispersion (CD) monitoring algorithm based on the estimated time domain channel in electronic domain using channel estimation methods. The proposed scheme utilizes kurtosis as a CD measurement, directly computed from the estimated inter-symbol-interference (ISI) channel due to the CD distortion. Hence, the proposed scheme exhibits robust performance under OSNR variation, in contrast to the existing electronic domain approach based on minimum mean squared error (MMSE) fractionally-spaced equalizer taps [1]. The simulation results verify the CD monitoring ability of the proposed scheme.

Multilayer perceptron equalizer for optical communication systems

“…As reported in [3] and [18], the impulse response functions hx (t) and hy (t) can be represented by the expressions …”

“…From the definitions reported previously [3], [5], [17], [18], [19], [20], [21], the optical channel can be modeled using the scheme shown in Figure 2 where hx(t) and hy(t) represent the CD and PMD impulse responses (in each polarization), nx(t) and ny(t) represent the ASE noise (in each polarization) due to the amplifiers, and 101 2 represents the non-linear effect of the photodetector.…”

PMD Effect on the Clock-based Optimum Dispersion Compensation Monitoring Technique

“…In high-speed optical transmission systems with ≥40 Gb/s per channel, it is essential to monitor and compensate for chromatic dispersion in real time [1,2]. In the linear optical transmission systems with a low signal power, a 100-% dispersion compensation gives the best signal quality.…”

Non-data Aided Timing Phase Recovery Scheme for Digital Equalization of Chromatic Dispersion and Polarization Mode Dispersion

“…In digital communication, when a training signal is unavailable, MSE criterion is often replaced by dispersion minimization (DM) criterion [12,13]. The intuition behind of DM criterion is that the transmitted digital data have only certain finite discrete values (for example {±1} for BPSK signaling) and by minimizing the dispersion of the received signal one could remove the adversary effects due to the distortion.…”