Title :
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
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;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393825
