Authors

W. B. Mikhael;T. Y. Yang

Comments

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Abbreviated Journal Title

EURASIP J Appl. Signal Process.

Keywords

INDEPENDENT COMPONENT ANALYSIS; BLIND SIGNAL SEPARATION; COCHANNNEL; INTERFERENCE; CHANGING ENVIRONMENTS; MIXTURE; RECEIVERS; ALGORITHM; Engineering, Electrical & Electronic

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. Copyright (C) 2006 Hindawi Publishing Corporation. All rights reserved.

Journal Title

Eurasip Journal on Applied Signal Processing

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

10

WOS Identifier

WOS:000242086000001

ISSN

1110-8657

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