Beam array optimization for smart antenna systems using stochastic algorithms

Papadopoulos, K; Papas, C; Kaklamani, D; Venieris, I

dc.contributor.author	Papadopoulos, K	en
dc.contributor.author	Papas, C	en
dc.contributor.author	Kaklamani, D	en
dc.contributor.author	Venieris, I	en
dc.date.accessioned	2014-03-01T01:57:43Z
dc.date.available	2014-03-01T01:57:43Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28489
dc.relation.uri	http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05067863	en
dc.relation.uri	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5067863	en
dc.subject	Antenna Array	en
dc.subject	Correspondence Problem	en
dc.subject	Genetic Algorithm	en
dc.subject	Mobile Communication	en
dc.subject	Optimal Solution	en
dc.subject	particle swarm optimizer	en
dc.subject	Smart Antenna	en
dc.subject	Stochastic Algorithm	en
dc.subject	Adaptive Array Antenna	en
dc.subject	Base Station	en
dc.subject	Linear Array	en
dc.subject	Uniform Circular Array	en
dc.title	Beam array optimization for smart antenna systems using stochastic algorithms	en
heal.type	journalArticle	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	en