DocumentCode
2975176
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
fYear
1999
fDate
1999
Firstpage
107
Lastpage
111
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Caesarea
Print_ISBN
0-7695-0140-0
Type
conf
DOI
10.1109/HOST.1999.778704
Filename
778704
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