Title :
Alignment of two optical fiber based on particle swarm optimization technique
Author :
Landry, M. ; Kaddouri, A. ; Bouslimani, Y. ; Ghribi, Maha
Author_Institution :
Dept. of Electr. Eng., Univ. of Moncton, Moncton, NB, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
In this paper, an optical fiber alignment system based on the particle swarm optimization (PSO) technique is developed and presented. The PSO algorithm is used for locating the optimal coupling position with the highest optical power with two-degrees of freedom alignment. This algorithm yields interesting results without a need to go through the complex mathematical modeling of the alignment system. The proposed algorithm is validated considering the alignment of two Single Mode Fibers (SMF) and the alignment of SMF and Photonic Crystal Fiber (PCF) fibers.
Keywords :
holey fibres; optical fibre couplers; particle swarm optimisation; photonic crystals; PCF; PSO; SMF; optical fiber alignment; optimal coupling position; particle swarm optimization; photonic crystal fiber; single mode fibers; Adaptive optics; Biomedical optical imaging; Equations; Genetic algorithms; Optical fibers; Particle swarm optimization; Automatic alignment; Optical fibers; Particle swarm optimization;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334868