Title

Complex Adaptive ICA Employing the Conjugate Gradient Technique for Signal Separation in Time-Varying Flat Fading Channels

Authors

Authors

W. B. Mikhael; R. Ranganathan;T. Yang

Comments

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Abbreviated Journal Title

Circuits Syst. Signal Process.

Keywords

Independent component analysis; Conjugate gradient; Adaptive filtering; Fading; Kurtosis; INDEPENDENT COMPONENT ANALYSIS; ALGORITHMS; SYSTEMS; Engineering, Electrical & Electronic

Abstract

The conjugate gradient method is a prominent technique for solving systems of linear equations and unconstrained optimization problems, including adaptive filtering. Since it is an iterative method, it can be particularly applied to solve sparse systems which are too large to be handled by direct methods. The main advantage of the conjugate gradient method is that it employs orthogonal search directions with optimal steps along each direction to arrive at the solution. As a result, it has a much faster convergence speed than the steepest descent method, which often takes steps in the same direction as earlier steps. Furthermore, it has lower computational complexity than Newton's iteration approach. This unique tradeoff between convergence speed and computational complexity gives the conjugate gradient method desirable properties for application in numerous mathematical optimization problems. In this paper, the conjugate gradient principle is applied to complex adaptive independent component analysis (ICA) for maximization of the kurtosis function, to achieve separation of complex-valued signals. The proposed technique is called the complex block conjugate independent component analysis (CBC-ICA) algorithm. The CBC-ICA derives independent conjugate gradient search directions for the real and imaginary components of the complex coefficients of the adaptive system employed for signal separation. In addition, along each conjugate direction an optimal update is generated separately for the real and imaginary components using the Taylor series approximation. Simulation results confirm that in dynamic flat fading channel conditions, the CBC-ICA demonstrates excellent convergence speed and accuracy, even for large processing block sizes.

Journal Title

Circuits Systems and Signal Processing

Volume

29

Issue/Number

3

Publication Date

1-1-2010

Document Type

Article

Language

English

First Page

469

Last Page

480

WOS Identifier

WOS:000276251600009

ISSN

0278-081X

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