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      • Department of Electrical and Electronics Engineering
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      Particle swarm optimization based channel identification in cross-ambiguity domain

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      Author
      Güldoğan, Mehmet Burak
      Arıkan, Orhan
      Date
      2010
      Source Title
      2010 IEEE International Conference on Acoustics, Speech and Signal Processing
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      2654 - 2657
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this paper, a new array signal processing technique by using particle swarm optimization (PSO) is proposed to identify multipath channel parameters. The proposed technique provides estimates to the channel parameters by finding a global minimum of an optimization problem. Since the optimization problem is formulated in the cross-ambiguity function (CAF) domain of the transmitted signal and the received array outputs, the proposed technique is called as PSO-CAF. The performance of the PSO-CAF is compared with the space alternating generalized expectation maximization (SAGE) technique and with another recently proposed PSO based technique for various SNR values. Simulation results indicate the superior performance of the PSO-CAF technique over mentioned techniques for all SNR values. ©2010 IEEE.
      Keywords
      Cross-ambiguity function (CAF)
      Direction of arrival (DOA)
      Particle swarm optimization (PSO)
      Array output
      Array signal processing techniques
      Channel identification
      Channel parameter
      Cross-ambiguity function
      Direction of arrival (DOA)
      Global minima
      Multipath channels
      Optimization problems
      Simulation result
      SNR values
      Space alternating generalized expectation maximization
      Transmitted signal
      Direction of arrival
      Room and pillar mining
      Signal processing
      Particle swarm optimization (PSO)
      Permalink
      http://hdl.handle.net/11693/28531
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICASSP.2010.5496246
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      • Department of Electrical and Electronics Engineering 3524
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