Frequency-domain adaptive filtering: a set-membership approach

Author

Li Guo ; Ekpenyong, Anthony ; Huang, Yih-Fang

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

Volume

2

fYear

2003

fDate

9-12 Nov. 2003

Firstpage

2073

Abstract

Frequency-domain adaptive filtering has been shown to have the advantage of low complexity compared to its time-domain counterpart In this paper, a frequency-domain Set-Membership Normalized Least-Mean-Square (F-SM-NLMS) algorithm is derived, and shown to have better performance (in terms of convergence and bit error rate (BER)) and less updates than frequency-domain Normalized Least-Mean-Square (F-NLMS) algorithm. We also propose an updator-sharing scheme to reduce filter complexity of frequency-domain adaptive filtering. The results show significant savings in complexity with little compromise of performance.

Keywords

adaptive filters; convergence; error statistics; frequency-domain analysis; least mean squares methods; BER; NLMS; bit error rate; convergence; filter complexity reduction; frequency-domain adaptive filtering; normalized least-mean-square algorithm; set-membership approach; updator-sharing scheme; Adaptive equalizers; Adaptive filters; Convergence; Diversity reception; Filtering algorithms; Finite impulse response filter; Frequency; Least squares approximation; Steady-state; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on

Print_ISBN

0-7803-8104-1

Type

conf

DOI

10.1109/ACSSC.2003.1292345

Filename

1292345