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      • Department of Electrical and Electronics Engineering
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      Multipath channel identification by using global optimization in ambiguity function domain

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      Author
      Guldogan, M. B.
      Arıkan, Orhan
      Date
      2011-06-15
      Source Title
      Signal Processing
      Print ISSN
      0165-1684
      Publisher
      ELSEVIER
      Volume
      91
      Issue
      11
      Pages
      2647 - 2660
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      A new transform domain array signal processing technique is proposed for identification of multipath communication channels. The received array element outputs are transformed to delayDoppler domain by using the cross-ambiguity function (CAF) for efficient exploitation of the delayDoppler diversity of the multipath components. Clusters of multipath components can be identified by using a simple amplitude thresholding in the delayDoppler domain. Particle swarm optimization (PSO) can be used to identify parameters of the multipath components in each cluster. The performance of the proposed PSO-CAF technique is compared with the space alternating generalized expectation maximization (SAGE) technique and with a recently proposed PSO based technique at various SNR levels. Simulation results clearly quantify the superior performance of the PSO-CAF technique over the alternative techniques at all practically significant SNR levels.
      Keywords
      Channel identification
      Cross ambiguity function (CAF)
      Maximum likelihood (ML)
      Particle swarm optimization (PSO)
      Permalink
      http://hdl.handle.net/11693/21726
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.sigpro.2011.06.004
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      • Department of Electrical and Electronics Engineering 3524
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