A novel algorithm to improve the blind receiver for convolutive MIMO systems

Abstract

A novel approach is presented to convert the convolutive multiple-input multiple-output (MIMO) system with specified number of real receive antennas to an instantaneous MIMO system with virtual larger number of receive antennas. To achieve this goal the signal model in subspace-based channel shortening for the blind separation of convolutive mixtures has been reformulated and the corresponding virtual MIMO system has been presented. Then independent component analysis (ICA) algorithm is employed to evaluate the transmitted data. By virtual increase of the number of antennas the performance of the system improves significantly. Also a modification on the proposed approach for the case of BPSK modulation reduces the required number of receive antennas to half. Overall results have been verified via simulation.