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

Wasfy B. Mikhael, Tianyu Yang, Thomas Yang

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageAmerican English
JournalEURASIP Journal on Applied Signal Processing
Volume2006
StatePublished - Feb 18 2006

Keywords

  • telecommunication
  • mobile communication
  • independent component analysis (ICA) algorithm
  • online learning algorithm
  • optimum block adaptive ICA algorithm

Disciplines

  • Digital Communications and Networking
  • Electrical and Computer Engineering

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