Kanal parametrelerinin kestirilmesi için SAGE algortiması uygulaması ve geliştirilmesi

In recent years, Multiple Input Multiple Output (MIMO) systems have gainedimportance due to the improvements on the performance of radiosystems. Channel parameter estimation is an important factor in thedesign and optimization of MIMO systems. In this thesis, channelparameters such as delay, angles (azimuth and elevation) of arrival(AoA) and departure (AoD), Doppler frequency and polarization areestimated from measurement data using Space Alternating GeneralizedExpectation-Maximization (SAGE) algorithm. One of the focuses ofthis thesis is to reduce the computational complexity of thealgorithm by using Particle Swarm Optimization (PSO) technique.Additionally, a new initialization procedure is proposed to getbetter estimates and to improve the processing time of thealgorithm. Moreover, performance of the SAGE algorithm andimprovements on the algorithm are tested via extensive measurementdata. It is found that SAGE algorithm is a powerful tool for channelestimation and it can further be improved by the aforementioned propositions.