Title

Complex adaptive FIR digital filtering algorithm with time-varying independent convergence factors

Authors

Authors

W. B. Mikhael;R. Ranganathan

Comments

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Abbreviated Journal Title

Signal Process.

Keywords

adaptive filters; digital filtering; independent convergence factors; Engineering, Electrical & Electronic

Abstract

The Complex Least Mean Square (Complex LMS) algorithm suffers from slow convergence and dependence on the choice of the convergence factor. In this paper, a novel Complex FIR Block Adaptive algorithm (Complex OBA-LMS) for digital filtering, which overcomes the inherent limitations of the Complex LMS, is presented. The proposed technique employs optimally derived convergence factors, updated at each block iteration, for independently adjusting the real and imaginary components of the Complex FIR adaptive filter coefficients. Simulation results confirm the performance improvement in terms of convergence speed and accuracy of the proposed method. (c) 2008 Elsevier B.V. All rights reserved.

Journal Title

Signal Processing

Volume

88

Issue/Number

7

Publication Date

1-1-2008

Document Type

Article

Language

English

First Page

1889

Last Page

1893

WOS Identifier

WOS:000255468000021

ISSN

0165-1684

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