TAILIEUCHUNG - Báo cáo hóa học: " Blind Multiuser Detection by Kurtosis Maximization for Asynchronous Multirate DS/CDMA Systems"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Blind Multiuser Detection by Kurtosis Maximization for Asynchronous Multirate DS/CDMA Systems | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article 1D84930 Pages 1-17 DOI ASP 2006 84930 Blind Multiuser Detection by Kurtosis Maximization for Asynchronous Multirate DS CDMA Systems Chun-Hsien Peng Chong-Yung Chi and Chia-Wen Chang Department of Electrical Engineering and Institute of Communications Engineering National Tsing Hua University Hsinchu 30043 Taiwan Received 9 January 2006 Revised 7 July 2006 Accepted 16 July 2006 Chi et al. proposed a fast kurtosis maximization algorithm FKMA for blind equalization deconvolution of multiple-input multiple-output MIMO linear time-invariant systems. This algorithm has been applied to blind multiuser detection of singlerate direct-sequence code-division multiple-access DS CDMA systems and blind source separation or independent component analysis . In this paper the FKMA is further applied to blind multiuser detection for multirate DS CDMA systems. The ideas are to properly formulate discrete-time MIMO signal models by converting real multirate users into single-rate virtual users followed by the use of FKMA for extraction of virtual users data sequences associated with the desired user and recovery of the data sequence of the desired user from estimated virtual users data sequences. Assuming that all the users spreading sequences are given a priori two multirate blind multiuser detection algorithms with either a single receive antenna or multiple antennas which also enjoy the merits of superexponential convergence rate and guaranteed convergence of the FKMA are proposed in the paper one based on a convolutional MIMO signal model and the other based on an instantaneous MIMO signal model. Some simulation results are then presented to demonstrate their effectiveness and to provide a performance comparison with some existing algorithms. Copyright 2006 Chun-Hsien Peng et al. This is an open access article distributed under the Creative Commons Attribution License which .

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