Application and improvement of SAGE algorithm for channel parameter estimation

buir.advisorAltıntaş, Ayhan
dc.contributor.authorBodur, Harun
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and electronics Engineering and the Institute of Engineering and Science of Bilkent University, 2008.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2008.en_US
dc.descriptionIncludes bibliographical references leaves 82-83.en_US
dc.description.abstractIn recent years, Multiple Input Multiple Output (MIMO) systems have gained importance due to the improvements on the performance of radio systems. Channel parameter estimation is an important factor in the design and optimization of MIMO systems. In this thesis, channel parameters such as delay, angles (azimuth and elevation) of arrival (AoA) and departure (AoD), Doppler frequency and polarization are estimated from measurement data using Space Alternating Generalized Expectation-Maximization (SAGE) algorithm. One of the focuses of this thesis is to reduce the computational complexity of the algorithm by using Particle Swarm Optimization (PSO) technique. Additionally, a new initialization procedure is proposed to get better estimates and to improve the processing time of the algorithm. Moreover, performance of the SAGE algorithm and improvements on the algorithm are tested via extensive measurement data. It is found that SAGE algorithm is a powerful tool for channel estimation and it can further be improved by the aforementioned propositions.en_US
dc.description.statementofresponsibilityBodur, Harunen_US
dc.format.extentxix, 83 leaves, tables and graphsen_US
dc.publisherBilkent Universityen_US
dc.subjectMultiple Input Multiple Output (MIMO)en_US
dc.subjectChannel Parameter Estimationen_US
dc.subjectParticle Swarm Optimization (PSO)en_US
dc.subject.lccTK5103.2 .B63 2008en_US
dc.subject.lcshMIMO systems.en_US
dc.subject.lcshWireless communication systems.en_US
dc.titleApplication and improvement of SAGE algorithm for channel parameter estimationen_US
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