Optimal Step-Size Affine Projection Algorithm

Author

Lee, Chang Hee ; Park, PooGyeon

Author_Institution

Div. of IT Convergence Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea

Volume

19

Issue

7

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

431

Lastpage

434

Abstract

This letter describes how to set up the step size of the affine projection algorithm (APA) based on mean-square deviation analysis. The analysis considers the cross-correlation between the current weight error vector and the prior measurement noises associated with the reused inputs vectors for better prediction of the learning behavior of the APA. With the predetermined step size based on the analysis, the proposed approach eliminates the parameter-tuning process and the derived algorithm achieves both the fast convergence rate and the low steady-state error. Simulation results show that the proposed algorithm performs better than previous algorithms.

Keywords

adaptive filters; convergence of numerical methods; correlation methods; mean square error methods; APA; adaptive filter; cross-correlation; current weight error vector; fast convergence rate; learning behavior; low steady-state error; mean-square deviation analysis; measurement noises; optimal step-size affine projection algorithm; parameter-tuning process elimination; reused inputs vectors; Algorithm design and analysis; Convergence; Prediction algorithms; Projection algorithms; Signal processing algorithms; Silicon; Vectors; Adaptive filters; affine projection algorithm (APA); mean-square deviation (MSD); optimal step size;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2195311

Filename

6186779