Fading performance evaluation of a semi-blind adaptive space–time equaliser for frequency selective MIMO systems

A semi-blind adaptive space–time equaliser (STE) has recently been proposed based on a concurrent gradient-Newton (GN) constant modulus algorithm (CMA) and soft decision-directed (SDD) scheme for dispersive multiple-input multiple-output (MIMO) systems that employ highthroughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the STE, is used to provide a rough initial estimate of the STE’s weight vector. The concurrent GN based CMA and SDD blind adaptive scheme is then adopted to adapt the STE. This semi-blind STE has a complexity similar to that of the training-based recursive least squares (RLS) algorithm. For stationary MIMO channels, it has been demonstrated that this semi-blind adaptive STE is capable of converging fast to the optimal minimum mean square error STE solution. In this contribution, we investigate the performance of this semi-blind adaptive 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 RLS algorithm. Thus, this semi-blind adaptive STE offers an effective and practical means to successfully operate under the highly dispersive and fading MIMO environment. & 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved. 2.00 & 2011 The Franklin Institute. Published by Elsevier Ltd. All rights reserved. .jfranklin.2011.09.003 nding author at: Electronics and Computer Science, Faculty of Physical and Applied Science, Southampton, Southampton SO17 1BJ, UK. dresses: [email protected] (H. Cheng), [email protected] (S. Chen). H. Cheng, S. Chen / Journal of the Franklin Institute 348 (2011) 2823–2838 2824