Title

Complex Adaptive LMS Algorithm Employing the Conjugate Gradient Principle for Channel Estimation and Equalization

Authors

Authors

Y. Liu; R. Ranganathan; M. T. Hunter;W. B. Mikhael

Comments

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Abbreviated Journal Title

Circuits Syst. Signal Process.

Keywords

Adaptive filter; Conjugate gradient; Optimal stepsize; LMS; Channel; estimation; Equalization; CONVERGENCE ANALYSIS; RECEIVERS; Engineering, Electrical & Electronic

Abstract

The Complex Block Least Mean Square (LMS) technique is widely used in adaptive filtering applications because of its simplicity and efficiency from a theoretical and implementation standpoint. However, the limitations of the Complex Block LMS technique are slow convergence and dependence on the proper choice of the stepsize or convergence factor. Moreover, its performance degrades significantly in time-varying environments. In this paper, a novel adaptive LMS technique named the Complex Block Conjugate LMS algorithm, CBC-LMS, is presented. Based on the Conjugate Gradient Principle, the proposed technique searches orthogonal directions to update the filter coefficients instead of the negative gradient directions used in the Complex Block LMS algorithm. In addition, the CBC-LMS algorithm derives optimal stepsizes to adjust the adaptive system coefficients at each iteration. As a result, the developed method overcomes the inherent limitations of the existing Complex Block LMS algorithm. The performance of the CBC-LMS technique is tested in wireless channel estimation and equalization applications, using both computer simulations and laboratory experiments. Furthermore, the developed technique is compared to the Complex Block LMS method and a recently proposed method, which is called Complex Optimal Block Adaptive LMS (OBA-LMS). The experimental and simulation results confirm that the proposed CBC-LMS technique achieves faster convergence with comparable accuracy and reduced computational complexity, relative to the existing techniques.

Journal Title

Circuits Systems and Signal Processing

Volume

31

Issue/Number

3

Publication Date

1-1-2012

Document Type

Article

Language

English

First Page

1067

Last Page

1087

WOS Identifier

WOS:000302740700014

ISSN

0278-081X

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