Open AccessOptimisation algorithms for OSNR measurement based on polarisation nulling
Author(s) -
Feres M.M.,
Floridia C.,
Romero M.A.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.0333
Subject(s) - particle swarm optimization , convergence (economics) , testbed , algorithm , computer science , signal to noise ratio (imaging) , polarization mode dispersion , noise (video) , signal (programming language) , genetic algorithm , extinction ratio , optical fiber , electronic engineering , optics , physics , engineering , telecommunications , artificial intelligence , wavelength , computer network , machine learning , economics , image (mathematics) , programming language , economic growth
Optimisation algorithms are demonstrated as a nulling finder for an in‐band optical signal‐to‐noise ratio (OSNR) monitoring method based on polarisation extinction. The method was tested and validated in the Brazilian GIGA optical fibre testbed. When three optimisation techniques (genetic algorithm, particle swarm optimisation (PSO) and downhill simplex) were compared, PSO provided the best results regarding convergence time and nulling efficiency.