Particle swarm optimization for SAGE maximization step in channel parameter estimation

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dc.citation.epage4en_US
dc.citation.spage1en_US
dc.contributor.authorBodur, Harunen_US
dc.contributor.authorTunç, Celal Alpen_US
dc.contributor.authorAktaş, Defneen_US
dc.contributor.authorErtürk, Vakur .B.en_US
dc.contributor.authorAltıntaş, Ayhanen_US
dc.coverage.spatialEdinburgh, UK
dc.date.accessioned2016-02-08T11:42:58Z
dc.date.available2016-02-08T11:42:58Z
dc.date.issued2007-11en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 11-16 Nov. 2007
dc.descriptionConference name: The Second European Conference on Antennas and Propagation, EuCAP 2007
dc.description.abstractThis paper presents an application of particle swarm optimization (PSO) in space alternating generalized expectation maximization (SAGE) algorithm. SAGE algorithm is a powerful tool for estimating channel parameters like delay, angles (azimuth and elevation) of arrival and departure, Doppler frequency and polarization. To demonstrate the improvement in processing time by utilizing PSO in SAGE algorithm, the channel parameters are estimated from a synthetic data and the computational expense of SAGE algorithm with PSO is discussed. (4 pages).en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:42:58Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2007en
dc.identifier.doi10.1049/ic.2007.1226en_US
dc.identifier.urihttp://hdl.handle.net/11693/27048
dc.language.isoEnglishen_US
dc.publisherIET
dc.relation.isversionofhttps://doi.org/10.1049/ic.2007.1226en_US
dc.source.titleThe Second European Conference on Antennas and Propagation, EuCAP 2007en_US
dc.subjectChannel estimationen_US
dc.subjectParticle swarm optimization.en_US
dc.subjectSAGEen_US
dc.subjectChannel parameteren_US
dc.subjectComputational expenseen_US
dc.subjectDoppler frequencyen_US
dc.subjectIn-channelsen_US
dc.subjectProcessing Timeen_US
dc.subjectSAGE algorithmen_US
dc.subjectSpace alternating generalized expectation maximizationen_US
dc.subjectSynthetic dataen_US
dc.subjectAlgorithmsen_US
dc.subjectAntennasen_US
dc.subjectEstimationen_US
dc.subjectParameter estimationen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectMIMO
dc.titleParticle swarm optimization for SAGE maximization step in channel parameter estimationen_US
dc.typeConference Paperen_US

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