DocumentCode :
3766437
Title :
Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface
Author :
Ali Lalbakhsh;Muhammad U. Afzal;Karu P. Esselle;Basit A. Zeb
Author_Institution :
Centre for Collaboration in Electromagnetic and Antenna Engineering, Department of Engineering, Macquarie University, Sydney, New South Wales-2109, Australia
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λo/65.
Keywords :
"Frequency selective surfaces","Algorithm design and analysis","Particle swarm optimization","Optimization","Substrates","Integrated circuit modeling"
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (ISAP), 2015 International Symposium
Type :
conf
Filename :
7447507
Link To Document :
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