Abstract
Higher-order statistics (HOS) based inverse filter criteria (IFC) have been widely used for blind equalization of discrete-time multi-input multi-output (MIMO) linear time-invariant channels with non-Gaussian measurements but the equalization output turns out to be an unknown permutation and an unknown phase rotation of one of the driving inputs. In this thesis, a blind multi-user equalization algorithm (BMEA) for multi-rate (variable processing gain or multi-code) DS/CDMA systems in multi-path is proposed which is an extension of the single-rate BMEA proposed by Chi et al. by converting real multi-rate users into single-rate virtual users. The proposed multi-rate BMEA also shares the merit of super-exponential convergence rate of Chi et al.'s single-rate BMEA. Then the proposed multi-rate BMEA in conjunction with Chi et al.'s blind maximum ratio combining (BMRC) algorithm, called multi-rate BMEA-BMRC algorithm, is proposed with multiple receive antennas used for space diversity gain. Finally, some simulation results are presented to support the efficacy of the proposed multi-rate BMEA and multi-rate BMEA-BMRC algorithm.