A gradient-based optimum block adaptation ICA technique for interference suppression in highly dynamic communication channels
Abbreviated Journal Title
EURASIP J Appl. Signal Process.
INDEPENDENT COMPONENT ANALYSIS; BLIND SIGNAL SEPARATION; COCHANNNEL; INTERFERENCE; CHANGING ENVIRONMENTS; MIXTURE; RECEIVERS; ALGORITHM; Engineering, Electrical & Electronic
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. Copyright (C) 2006 Hindawi Publishing Corporation. All rights reserved.
Eurasip Journal on Applied Signal Processing
"A gradient-based optimum block adaptation ICA technique for interference suppression in highly dynamic communication channels" (2006). Faculty Bibliography 2000s. 6436.