A Step Size Control Method for Deficient Length FBLMS Algorithm

Author

Ming Wu ; Jun Yang

Author_Institution

Key Lab. of Noise & Vibration Res., Inst. of Acoust., Beijing, China

Volume

22

Issue

9

fYear

2015

fDate

Sept. 2015

Firstpage

1448

Lastpage

1451

Abstract

In many practical situations, where the length of the system impulse response is extremely long, the adaptive filter usually works in an under-modeling situation. In our previous work, we found that for deficient-length frequency-domain block least-mean-square (FBLMS) algorithm, the steady-state solution depends on the step size selected. The deficient length-FBLMS algorithm will converge to the Wiener solution only if the same step size is selected for each frequency bin. Numerous variable step-size methods for FBLMS algorithm have been proposed. However, almost all of them cannot converge to the Wiener solution in the under-modeling situation. In this letter, a step size control method for deficient-length FBLMS algorithm is proposed. Effectiveness of the proposed algorithm is demonstrated through computer simulations.

Keywords

Wiener filters; adaptive filters; least mean squares methods; Wiener solution; adaptive filter; deficient length FBLMS algorithm; frequency-domain block least-mean-square algorithm; steady-state solution; step size control method; variable step-size methods; Convergence; Frequency-domain analysis; Least squares approximations; Signal processing algorithms; Size control; Steady-state; Vectors; Adaptive filters; deficient length least-mean-square (LMS) algorithm; variable step size;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2382113

Filename

6987245