caa a22 4500 606206167 CHVBK 20210128101010.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00034-014-9944-9 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9944-9 Robust Blind Multiuser Detection Algorithm Using Fourth-Order Cumulant Matrices [Elektronische Daten] [Zaid Albataineh, Fathi Salem] A new blind detection algorithm, based on fourth-order cumulant matrices, is presented and applied to the multiuser symbol estimation problem in direct sequence code division multiple access (DS-CDMA) systems. The blind detection is to estimate multiple symbol sequences in the downlink of a 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 the computational load and enhance the performance. Bit error rate simulations of this algorithm are performed for different numbers of users, signal-to-noise ratios, and numbers of symbols per user in comparison with the FastICA and RobustICA algorithms. The results show that the proposed algorithm outperforms both ICA-based detectors in estimating the symbol signals from the received mixed signals. Moreover, the proposed blind detector is computationally fast and exhibits high convergence speed in extracting user symbols. Springer Science+Business Media New York, 2015 Direct sequence code division multiple access (DS-CDMA) systems nationallicence Fourth-order cumulant matrices nationallicence Independent component analysis (ICA) nationallicence RobustICA nationallicence FastICA nationallicence Bit error rate (BER) nationallicence Signal-to-noise ratio (SNR) nationallicence Albataineh Zaid Circuits, Systems, and Neural Networks (CSANN) Laboratory, Department of Electrical and Computer Engineering, Michigan State University, 48824-1226, East Lansing, MI, USA aut Salem Fathi Circuits, Systems, and Neural Networks (CSANN) Laboratory, Department of Electrical and Computer Engineering, Michigan State University, 48824-1226, East Lansing, MI, USA aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/8(2015-08-01), 2577-2595 0278-081X 34:8<2577 2015 34 34 https://doi.org/10.1007/s00034-014-9944-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9944-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Albataineh Zaid Circuits, Systems, and Neural Networks (CSANN) Laboratory, Department of Electrical and Computer Engineering, Michigan State University, 48824-1226, East Lansing, MI, USA aut NATIONALLICENCE 700 1- Salem Fathi Circuits, Systems, and Neural Networks (CSANN) Laboratory, Department of Electrical and Computer Engineering, Michigan State University, 48824-1226, East Lansing, MI, USA aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/8(2015-08-01), 2577-2595 0278-081X 34:8<2577 2015 34 34