A new blind Detection algorithm based on simplified fourth order cumulant matrices is presented and applied to the multi-user symbol estimation problem in Direct Sequence Code Division Multiple Access (DS-CDMA) systems. The blind detection is to estimate multiple symbol sequences associated with all users in the downlink of DS-CDMA communication system using only the received wireless data and without any knowledge of the user spreading codes. The proposed algorithm takes advantage of higher cumulant matrix properties to reduce computational load and enhance performance. Bit error rate (BER) simulations of this algorithm are shown for different number of users, signal to noise ratio (SNR) and different number of symbols per user in comparison with the FAST ICA algorithm and Robust ICA. The results show that the proposed algorithm outperforms the both ICA-Detectors in estimating the symbol signals from the mixed CDMA received signals.
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