Bodur, HarunTunç, Celal AlpAktaş, DefneErtürk, Vakur .B.Altıntaş, Ayhan2016-02-082016-02-082007-11http://hdl.handle.net/11693/27048Date of Conference: 11-16 Nov. 2007Conference name: The Second European Conference on Antennas and Propagation, EuCAP 2007This 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).EnglishChannel estimationParticle swarm optimization.SAGEChannel parameterComputational expenseDoppler frequencyIn-channelsProcessing TimeSAGE algorithmSpace alternating generalized expectation maximizationSynthetic dataAlgorithmsAntennasEstimationParameter estimationParticle swarm optimization (PSO)MIMOConference Paper10.1049/ic.2007.1226