Analysis of the singularity avoidance capability of Constant Modulus Algorithms in coherent optical fibre communication systems - Equipe Télécommunications Optiques Access content directly
Conference Papers Year : 2023

Analysis of the singularity avoidance capability of Constant Modulus Algorithms in coherent optical fibre communication systems

Abstract

In dual-polarization coherent optical fibre transmission, adaptive blind equalizers based on constant modulus algorithm (CMA) have been proposed for polarization demultiplexing and inter-symbol interference compensation since it allows good convergence at low computational complexity. While CMA is known to be hampered by singularities induced by correlations between the equalizer’s output signals, it has been shown that their occurrences can be avoided by modifying the CMA scheme o penalize these correlations. However, the dependence of the singularity avoidance according to both the parameters of the CMAs and the channel has not been exhaustively studied. Hence, considering optical access networks with the objective to avoid CMA singularity in a wide range of polarization mode dispersion (PMD) situations, we study this dependence by computer simulations over deterministic realizations of the channel. We introduce a refined CMA scheme and exhibit proper sets of parameters for singularity-free operation up to 5 ps/√km PMD realization (22.36 ps DGD) in a 32 GBaud dual-polarization QPSK system. Solutions for covering extended PMD ranges are suggested also.
Fichier principal
Vignette du fichier
NWAKAMMA_ACP2023.pdf (2.66 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04252985 , version 1 (21-10-2023)

Identifiers

  • HAL Id : hal-04252985 , version 1

Cite

Peter A. Nwakamma, Gwillerm Froc, Yves Jaouën, Cédric Ware. Analysis of the singularity avoidance capability of Constant Modulus Algorithms in coherent optical fibre communication systems. Asia Communications and Photonics Conference (ACP 2023), Nov 2023, Wuhan, China. ⟨hal-04252985⟩
146 View
16 Download

Share

Gmail Facebook X LinkedIn More