Performance analysis of frequency-domain block LMS adaptive digital filters

Author

Lee, Jae Chon ; Un, Chong Kawan

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

36

Issue

2

fYear

1989

fDate

2/1/1989 12:00:00 AM

Firstpage

173

Lastpage

189

Abstract

The performance of the frequency-domain block least-mean-square (FBLMS) adaptive digital filters, whose filter weights are updated efficiently using the fast Fourier transform, is investigated. In particular, the convergence of the unconstrained FBLMS algorithm with reduced complexity, which is obtained by removing the constraint that has been known to be required in adjusting the frequency-domain weights based on overlap-save sectioning, is analyzed. The performance of the self-orthogonalizing FBLMS algorithm with improved convergence speed, in which different convergence factors normalized by frequency-domain power estimates are used for different frequency components of the weights, is also studied

Keywords

adaptive filters; digital filters; convergence; fast Fourier transform; filter weights; frequency-domain block LMS adaptive digital filters; frequency-domain weights; overlap-save sectioning; self-orthogonalizing FBLMS algorithm; Adaptive filters; Algorithm design and analysis; Circuits and systems; Convergence; Digital filters; Fast Fourier transforms; Frequency domain analysis; Frequency estimation; Least squares approximation; Performance analysis; Steady-state;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.20196

Filename

20196