Beam array optimization for smart antenna systems using stochastic algorithms

Papadopoulos, KA; Papagianni, CA; Papas, CA; Kaklamani, DI; Venieris, IS

dc.contributor.author	Papadopoulos, KA	en
dc.contributor.author	Papagianni, CA	en
dc.contributor.author	Papas, CA	en
dc.contributor.author	Kaklamani, DI	en
dc.contributor.author	Venieris, IS	en
dc.date.accessioned	2014-03-01T02:51:57Z
dc.date.available	2014-03-01T02:51:57Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35771
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-70349865244&partnerID=40&md5=abe7c8a6fb4a44a71bc56f9989c72ba3	en
dc.subject.other	Adaptive array antennas	en
dc.subject.other	Antenna design	en
dc.subject.other	Array optimization	en
dc.subject.other	Base station applications	en
dc.subject.other	Beam forming system	en
dc.subject.other	Convergence speed	en
dc.subject.other	Coupling characteristic	en
dc.subject.other	Design constraints	en
dc.subject.other	Directional pattern	en
dc.subject.other	Electromagnetic optimization	en
dc.subject.other	Linear arrays	en
dc.subject.other	Mobile communications	en
dc.subject.other	Optimal solutions	en
dc.subject.other	PSO algorithms	en
dc.subject.other	Smart antenna systems	en
dc.subject.other	Stochastic algorithms	en
dc.subject.other	Synthesis problems	en
dc.subject.other	Uniform circular arrays	en
dc.subject.other	Viable solutions	en
dc.subject.other	Directional patterns (antenna)	en
dc.subject.other	Interference suppression	en
dc.subject.other	Mobile telecommunication systems	en
dc.subject.other	Particle swarm optimization (PSO)	en
dc.subject.other	Radiators	en
dc.subject.other	Smart antennas	en
dc.subject.other	Mobile antennas	en
dc.title	Beam array optimization for smart antenna systems using stochastic algorithms	en
heal.type	conferenceItem	en
heal.identifier.secondary	5067863	en
heal.publicationDate	2009	en
heal.abstract	Beam forming systems using adaptive array antennas are a viable solution to a number of problems in applications related to mobile communications. Genetic Algorithms and Particle Swarm Optimization have been extensively used in electromagnetic optimization and antenna design problems. In this paper two smart antennas are investigated, with the purpose to determine the appropriate configuration for each element of the array. The directional patterns of the antenna arrays vary as well as the corresponding geometry; a linear array, composed of 16 elements, for a base station application and a planar uniform circular array (PUCA) composed of 18 radiators. The synthesis problem addressed is to find spatial and feeding configuration of the radiators that conform to certain design constraints. Synchronous GA and PSO algorithms have been utilized to perform beam array optimization for the smart antenna systems. Their efficiency is evaluated on the basis of convergence to the optimal solution for the corresponding problem and convergence speed. The proposed methodology is very flexible allowing the incorporation of additional factors as coupling characteristics.	en
heal.journalName	European Conference on Antennas and Propagation, EuCAP 2009, Proceedings	en
dc.identifier.spage	1345	en
dc.identifier.epage	1349	en