An adaptive semi-blind space-time equaliser (STE) has recently been proposed based on a concurrent gradient-Newton constant modulus algorithm and soft decision-directed scheme for dispersive multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation signalling. We investigate the performance of this adaptive semi-blind STE operating in Rayleigh fading MIMO systems. Our results obtained show that the tracking performance of this semi-blind adaptive algorithm is close to that of the training-based recursive least squares algorithm. This study, therefore, demonstrates that the proposed semi-blind algorithm offers a practical means to adapt a STE in the hostile dispersive Rayleigh fading MIMO environment.
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