A Gradient-Based Optimum Block Adaptation ICA Technique for Interference Suppression in Highly Dynamic Communication Channels

  • Wasfy B. Mikhael
  • Tianyu Yang
Open Access
Research Article
Part of the following topical collections:
  1. Reliable Communications over Rapidly Time-Varying Channels


The fast fixed-point independent component analysis (ICA) algorithm has been widely used in various applications because of its fast convergence and superior performance. However, in a highly dynamic environment, real-time adaptation is necessary to track the variations of the mixing matrix. In this scenario, the gradient-based online learning algorithm performs better, but its convergence is slow, and depends on a proper choice of convergence factor. This paper develops a gradient-based optimum block adaptive ICA algorithm (OBA/ICA) that combines the advantages of the two algorithms. Simulation results for telecommunication applications indicate that the resulting performance is superior under time-varying conditions, which is particularly useful in mobile communications.


Independent Component Analysis Mobile Communication Fast Convergence Online Learning Dynamic Communication 


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Copyright information

© Mikhael and Yang 2006

Authors and Affiliations

  • Wasfy B. Mikhael
    • 1
  • Tianyu Yang
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of Central FloridaOrlandoUSA
  2. 2.Department of Engineering SciencesEmbry-Riddle Aeronautical UniversityDaytona BeachUSA

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