Adaptive blind equalization for MIMO-OFDM wireless communication systems

In this paper, we investigate the blind algorithm for channel estimation of MIMO-OFDM wireless communication system based on the subspace decomposition of the channel received complex baseband signals and propose a new two-stage blind algorithm. We exploit the second-order cyclostationarity inherent in OFDM with cyclic prefix and the characteristics of the phased antenna, establish the practical HIPERLAN/2 standard based MIMO-OFDM simulator with the sufficient considerations of statistical correlations between the multiple antenna channels under wireless wideband multipath fading environment, and formulate a new two-stage adaptive blind algorithm using rank reduced subspace channel matrix approximation and adaptive CMA (constant modulus algorithm) criteria. The performance of the new method has been justified theoretically and validated through extensive simulations over common wireless and mobile communication links.