Optimal design of switched beam antenna arrays using particle swarm optimization

Papadopoulos, KA; Papagianni, CA; Foukarakis, IE; Kaklamani, DI; Venieris, IS

dc.contributor.author	Papadopoulos, KA	en
dc.contributor.author	Papagianni, CA	en
dc.contributor.author	Foukarakis, IE	en
dc.contributor.author	Kaklamani, DI	en
dc.contributor.author	Venieris, IS	en
dc.date.accessioned	2014-03-01T02:44:08Z
dc.date.available	2014-03-01T02:44:08Z
dc.date.issued	2006	en
dc.identifier.issn	03796566	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31700
dc.subject	Adaptive Antennas	en
dc.subject	Antenna Array	en
dc.subject	Cellular System	en
dc.subject	Fitness Function	en
dc.subject	Mobile Communication	en
dc.subject	Optimal Design	en
dc.subject	Optimization Problem	en
dc.subject	particle swarm optimizer	en
dc.subject	Smart Antenna	en
dc.subject	Social Interaction	en
dc.subject	System Integration	en
dc.subject.other	Algorithms	en
dc.subject.other	Antenna feeders	en
dc.subject.other	Global optimization	en
dc.subject.other	Mobile telecommunication systems	en
dc.subject.other	Problem solving	en
dc.subject.other	Switching networks	en
dc.subject.other	Optimal design	en
dc.subject.other	Particle swarm optimization	en
dc.subject.other	Smart antennas	en
dc.subject.other	Antenna arrays	en
dc.title	Optimal design of switched beam antenna arrays using particle swarm optimization	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/EUCAP.2006.4585004	en
heal.identifier.secondary	http://dx.doi.org/10.1109/EUCAP.2006.4585004	en
heal.publicationDate	2006	en
heal.abstract	Adaptive antennas techniques are emerging as a promising solution to a number of problems in applications related to mobile communications. This paper presents a method for optimal design of switched beam planar antenna arrays based on the Particle Swarm Optimization (PSO) algorithm. Switched beam antenna arrays are a subset of smart antennas that that can enhance the capacity of a cellular system. PSO is a population based algorithm that exploits a set of potential solutions to the optimization problem, which are determined on the basis of social interactions between independent agents. The synthesis problem addressed is to find spatial and feeding configuration of array elements that conform to certain design constraints enforced on multiple diagrams of differentiated directive gains and values (beam forming). Two different fitness functions were evaluated on this basis; results obtained were correlated to requirements of vertical system integration. The proposed methodology is very flexible allowing the incorporation of additional factors such as coupling characteristics and feeding network constraints.	en
heal.journalName	European Space Agency, (Special Publication) ESA SP	en
dc.identifier.doi	10.1109/EUCAP.2006.4585004	en
dc.identifier.volume	626 SP	en