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  • Research Article
  • Open Access

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

  • 1 and
  • 2
EURASIP Journal on Advances in Signal Processing20062006:084057

  • Received: 21 February 2005
  • Accepted: 18 February 2006
  • Published:


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


Authors’ Affiliations

Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA
Department of Engineering Sciences, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA


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© Mikhael and Yang 2006