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Blind Adaptive Equalization Method without Channel Order Estimation

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3 Author(s)
I. Kacha ; Télécom Paris (ENST) - Département TSI, 37-39 rue Dareau, 75014 Paris, France. École Nationale Polytechnique (ENP) -Département d'Électronique, 10 avenue Hassan Badi El-Harrach, 16200 Alger, Algérie. e-mail: ; K. Abed-Meraim ; A. Belouchrani

In this paper, we propose a new blind minimum mean square error (MMSE) equalization algorithm of noisy single-input multiple-outputs finite impulse response (SIMO-FIR) systems, relying only on second order statistics. This algorithm offers an important advantage, a total independence of the channel order. Exploiting the fact that the equalizer filter belongs both, to the signal subspace and to the kernel of truncated data covariance matrix, the algorithm achieves blindly a direct estimation of the zero-delay MMSE equalizer parameters. The proposed approach has several features that are studied in this work. More precisely, we develop a two-step procedure to further improve the performance gain and to control the equalization delay. We present an efficient adaptive implementation of our equalizer, which reduces the computational complexity from O(n3) to O(n2p), where n is the data vector length and n is the number of sensors. Simulation results are provided to illustrate the effectiveness of the proposed blind equalization algorithm

Published in:

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings  (Volume:4 )

Date of Conference:

14-19 May 2006