Variable Step-Size Sign Subband Adaptive Filter

Author

Jaewook Shin ; JinWoo Yoo ; PooGyeon Park

Author_Institution

Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea

Volume

20

Issue

2

fYear

2013

fDate

Feb. 2013

Firstpage

173

Lastpage

176

Abstract

This letter proposes a variable step-size sign subband adaptive filter (SSAF) based on the minimization of mean-square deviation (MSD). In the process of minimizing the MSD, because it is not feasible to know the exact value of the MSD, the step size is derived by minimizing the upper bound of the MSD in each iteration. The proposed algorithm uses this step size in the SSAF update equation so as to improve the filter performance in terms of the convergence rate and the steady-state estimation error. The proposed algorithm is tested in a system-identification scenario that includes impulsive noise. Simulation results show that the proposed algorithm performs better than the previous algorithms.

Keywords

adaptive filters; convergence; impulse noise; mean square error methods; state estimation; MSD; SSAF update equation; convergence rate; filter performance; impulsive noise; mean-square deviation; minimization; steady-state estimation error; system-identification scenario; upper bound; variable step-size sign subband adaptive filter; Convergence; Equations; Noise; Noise measurement; Signal processing algorithms; Upper bound; Vectors; Adaptive filter; impulsive noise; subband sign adaptive filter; variable step size;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2237166

Filename

6400218