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      • Dept. of Electrical and Electronics Engineering - Master's degree
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      •   BUIR Home
      • University Library
      • Bilkent Theses
      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      Application and improvement of SAGE algorithm for channel parameter estimation

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      Author(s)
      Bodur, Harun
      Advisor
      Altıntaş, Ayhan
      Date
      2008
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      In 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.
      Keywords
      Multiple Input Multiple Output (MIMO)
      Channel Parameter Estimation
      Particle Swarm Optimization (PSO)
      SAGE
      Permalink
      http://hdl.handle.net/11693/14813
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      • Dept. of Electrical and Electronics Engineering - Master's degree 655
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