An AR prefiltering approach to adaptive equalization

Author

Shimamura, Tetsuya ; Itou, Katsuko ; Yashima, Hiroyuki ; Suzuki, Jouji

Author_Institution

Dept. of Inf. & Comput. Sci., Saitama Univ., Urawa, Saitama, Japan

fYear

1993

fDate

3-6 May 1993

Firstpage

730

Abstract

An infinite impulse response (IIR)-type adaptive equalizer using a channel estimation is proposed. It has a cascade structure of an autoregressive (AR) prefilter and a finite impulse response (FIR) adaptive equalizer. The AR prefilter is designed using the channel impulse response estimated by the channel estimator. AR prefiltering leads to reduction in a degree of correlation of the channel output. The least-mean-square (LMS) algorithm of the cascaded FIR adaptive equalizer provides fast convergence and small residual error. Simulation results are shown to confirm the performance of the proposed adaptive equalizer

Keywords

IIR filters; adaptive equalisers; adaptive estimation; autoregressive processes; filtering theory; least mean squares methods; AR prefiltering approach; adaptive equalization; cascade structure; channel estimation; channel impulse response; convergence; infinite impulse response; least-mean-square; residual error; Adaptive equalizers; Adaptive filters; Computational complexity; Convergence; Data communication; Degradation; Finite impulse response filter; IIR filters; Least squares approximation; Poles and zeros;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.393825

Filename

393825