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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)
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)
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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