A kurtosis-driven variable step-size LMS algorithm

Author

Pazaitis, Dimitrios I. ; Constantinides, A.G.

Author_Institution

Sect. of Signal Process., Imperial Coll., London, UK

Volume

3

fYear

1996

fDate

7-10 May 1996

Firstpage

1846

Abstract

A new technique for adjusting the step-size of the LMS algorithm is introduced. The proposed method adjusts the step-size sequence utilising the kurtosis of the estimation error, reducing therefore performance degradation due to the existence of significant Gaussian-distributed noise. The algorithm´s behaviour is analysed and equations regarding the evolution of the weight-error correlation matrix and stability of the algorithm are established. The obtained theoretical results are shown to agree well with the experimental ones. Furthermore, the performance of the proposed algorithm compared to that of LMS and other existing time-varying step-size algorithms is found superior in terms of tracking speed and steady-state error

Keywords

Gaussian distribution; Gaussian noise; adaptive filters; adaptive signal processing; correlation methods; error analysis; least mean squares methods; matrix algebra; numerical stability; tracking filters; Gaussian distributed noise; adaptive filters; algorithm stability; estimation error; experimental results; kurtosis; performance degradation reduction; steady-state error; step-size sequence; time-varying step-size algorithms; tracking speed; variable step-size LMS algorithm; weight-error correlation matrix; Adaptive filters; Convergence; Eigenvalues and eigenfunctions; Equations; Gaussian noise; Least squares approximation; Scholarships; Signal processing algorithms; Steady-state; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544228

Filename

544228