Ibrahim Kacha

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This paper presents a new algorithm for the blind equalization of FIR-SIMO systems. The proposed equalizer has several advantages and particular features that are studied in this work. More precisely, (i) we prove its robustness against channel order over-estimation errors, (ii) we propose an efficient fast adaptive implementation of our equalizer, (iii) we(More)
We propose a new blind minimum mean square error (MMSE) equalization algorithm of noisy multichannel finite impulse response (FIR) systems, that relies only on second-order statistics. The proposed algorithm offers two important advantages: a low computational complexity and a relative robustness against channel order overestimation errors. Exploiting the(More)
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(More)
In this work, we present an improved version of adaptive implementation of our algorithm developed in [12], that equalizes a noisy single input multiple output finite impulse response (SIMO-FIR) systems, relying only on second order statistics, totally independent from the channel order. In the proposed version, we reduce the computational complexity from(More)
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