Abstract
Chi et al. proposed a fast kurtosis maximization algorithm (FKMA) with computationally efficient 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 multi-rate DS/CDMA systems. The ideas are to formulate discrete-time MIMO signal models by converting real multi-rate 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, the proposed multi-rate blind multiuser detection algorithm (with either a single receive antenna or multiple antennas), which based on an instantaneous MIMO signal model, enjoys the merits of super-exponential convergence rate and guaranteed convergence of the FKMA. Finally, some simulation results are then presented to demonstrate the efficiency and to provide a performance comparison with some existing algorithms.