Semi-blind gradient-Newton CMA and SDD algorithm for MIMO space-time equalisation

  • Authors:
  • S. Chen;L. Hanzo;H.-T. Cheng

  • Affiliations:
  • School of Electronics and Computer Science, University of Southampton, Southampton, UK;School of Electronics and Computer Science, University of Southampton, Southampton, UK;School of Electronics and Computer Science, University of Southampton, Southampton, UK

  • Venue:
  • GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
  • Year:
  • 2009

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Abstract

Semi-blind space-time equalisation is considered for dispersive multiple-input multiple-output systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the space-time equaliser (STE), are first utilised to provide a rough initial least squares estimate of the STE's weight vector. A gradient-Newton-type concurrent constant modulus algorithm and soft decision-directed scheme is then applied to adapt the STE. The proposed semi-blind adaptive STE is capable of converging fast and accurately to the optimal minimum mean square error STE solution.