On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures
IEEE Transactions on Signal Processing
Performance of cumulant based inverse filters for blinddeconvolution
IEEE Transactions on Signal Processing
Frequency domain blind MIMO system identification based on second and higher order statistics
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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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.