HEAL DSpace

A genetic algorithm applied for optimization of antenna arrays used in mobile radio channel characterization devices

Αποθετήριο DSpace/Manakin

Εμφάνιση απλής εγγραφής

dc.contributor.author Karamalis, PD en
dc.contributor.author Kanatas, AG en
dc.contributor.author Constantinou, P en
dc.date.accessioned 2014-03-01T02:45:52Z
dc.date.available 2014-03-01T02:45:52Z
dc.date.issued 2009 en
dc.identifier.issn 0018-9456 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32442
dc.subject Array synthesis en
dc.subject Channel characterization en
dc.subject Cramér-Rao lower bound (CRLB) en
dc.subject Direction of arrival (DoA) estimation en
dc.subject Genetic algorithms (GAs) en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Instruments & Instrumentation en
dc.subject.other Array synthesis en
dc.subject.other Array topology en
dc.subject.other Channel characterization en
dc.subject.other Direction of arrival (DoA) estimation en
dc.subject.other Direction-of-arrival estimation en
dc.subject.other Lower bounds en
dc.subject.other Mean square estimation en
dc.subject.other Measurement campaign en
dc.subject.other Mobile radio channels en
dc.subject.other Mobile radio environment en
dc.subject.other Simulation result en
dc.subject.other Unbiased estimator en
dc.subject.other Antenna arrays en
dc.subject.other Control theory en
dc.subject.other Direction of arrival en
dc.subject.other Genetic algorithms en
dc.subject.other Mobile antennas en
dc.subject.other Radio direction finding systems en
dc.subject.other Synthesis (chemical) en
dc.subject.other Channel estimation en
dc.title A genetic algorithm applied for optimization of antenna arrays used in mobile radio channel characterization devices en
heal.type conferenceItem en
heal.identifier.primary 10.1109/TIM.2009.2014615 en
heal.identifier.secondary http://dx.doi.org/10.1109/TIM.2009.2014615 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract This paper presents a proposed method for synthesizing scenario-dependent channel characterization system arrays that are adapted to the mobile radio environment where measurements take place. The criterion for synthesizing the array is the minimization of the angular Cramér-Rao lower bound, which is the lower bound of the mean square estimation error (MSEE) for an unbiased estimator. The core of the process is a genetic algorithm (GA) that seeks for the most advantageous array topology for each scenario. Simulation results show that the method succeeds in synthesizing feasible antenna arrays that have increased direction of arrival (DoA) estimation accuracy and are superior to the arrays typically used during actual measurement campaigns. © 2009 IEEE. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE Transactions on Instrumentation and Measurement en
dc.identifier.doi 10.1109/TIM.2009.2014615 en
dc.identifier.isi ISI:000268033000013 en
dc.identifier.volume 58 en
dc.identifier.issue 8 en
dc.identifier.spage 2475 en
dc.identifier.epage 2487 en


Αρχεία σε αυτό το τεκμήριο

Αρχεία Μέγεθος Μορφότυπο Προβολή

Δεν υπάρχουν αρχεία που σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στην ακόλουθη συλλογή(ές)

Εμφάνιση απλής εγγραφής