Title :
Generalized super-exponential method for blind equalization using Kautz filters
Author :
Campi, M.C. ; Leonardi, R. ; Rossi, Lorenzo A.
Author_Institution :
Dept. of Electron. for Autom., Brescia Univ., Italy
Abstract :
In this work, an infinite impulse response (IIR) filtering framework for blind equalization of possibly non-minimum phase channels is proposed. The equalizer herein studied is an IIR generalization of the tapped delay line (TDL), called the Kautz filter, having as a transfer function a weighted sum of rational orthonormal functions on the unit circle. A procedure for blind estimation of the equalizer parameters (weights and poles), using higher order statistics (HOS) of the channel output, is presented. The weights are adjusted by means of a generalized version of the super-exponential (SE) method. The above method is combined with two algorithms for the pole selection. Simulation results demonstrate the advantages of the proposed method over TDL blind equalization
Keywords :
IIR filters; blind equalisers; delay lines; filtering theory; higher order statistics; parameter estimation; pole assignment; rational functions; transfer functions; transient response; HOS; IIR filtering; Kautz filters; blind equalization; blind estimation; equalizer parameter estimation; generalized super-exponential method; higher order statistics; infinite impulse response; non-minimum phase channels; pole selection; rational orthonormal functions; simulation; super-exponential method; tapped delay line; transfer function; unit circle; weighted sum; Automation; Blind equalizers; Delay lines; Higher order statistics; IIR filters; Phase estimation; Phase noise; TV broadcasting; Tellurium; Transmitters;
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
DOI :
10.1109/HOST.1999.778704