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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Particle swarm optimization for SAGE maximization step in channel parameter estimation

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      Author
      Bodur, Harun
      Tunç, Celal Alp
      Aktaş, Defne
      Ertürk, Vakur .B.
      Altıntaş, Ayhan
      Date
      2007-11
      Source Title
      The Second European Conference on Antennas and Propagation, EuCAP 2007
      Publisher
      IET
      Pages
      [1] - [4]
      Language
      English
      Type
      Conference Paper
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      Abstract
      This 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).
      Keywords
      Channel estimation
      Particle swarm optimization.
      SAGE
      Channel parameter
      Computational expense
      Doppler frequency
      In-channels
      Processing Time
      SAGE algorithm
      Space alternating generalized expectation maximization
      Synthetic data
      Algorithms
      Antennas
      Estimation
      Parameter estimation
      Particle swarm optimization (PSO)
      MIMO
      Permalink
      http://hdl.handle.net/11693/27048
      Published Version (Please cite this version)
      https://doi.org/10.1049/ic.2007.1226
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      • Department of Electrical and Electronics Engineering 3597
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