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.
Generalized Super-Exponential Method for Blind Equalization Using Kautz Filters
CAMPI, Marco;LEONARDI, Riccardo;ROSSI, Lorenzo
1999-01-01
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.File | Dimensione | Formato | |
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