Multiuser Detection
Advanced ICA-based receivers for block fading DS-CDMA channels
Signal Processing
Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications (Advanced Textbooks in Control & Signal Processing)
Blind detection of multirate asynchronous CDMA signals in multipath channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind multiuser channel estimation in asynchronous CDMA systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal decorrelating receivers for DS-CDMA systems: a signalprocessing framework
IEEE Transactions on Signal Processing
Blind MAI and ISI suppression for DS/CDMA systems using HOS-basedinverse filter criteria
IEEE Transactions on Signal Processing
Performance analysis of minimum variance CDMA receivers
IEEE Transactions on Signal Processing
Multi-user detection for DS-CDMA communications
IEEE Communications Magazine
An overview of air interface multiple access for IMT-2000/UMTS
IEEE Communications Magazine
Harmonization of global third generation mobile systems
IEEE Communications Magazine
Blind Signal Separation for Cognitive Radio
Journal of Signal Processing Systems
A two-stage Independent Component Analysis-based method for blind detection in CDMA systems
Digital Signal Processing
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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 single-rate 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.