Fast Converging Semi-Blind Space-Time Equalisation for Dispersive QAM MIMO Systems

A novel semi-blind space-time equaliser (STE) is proposed 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 STE, are first utilised to provide...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 8; H. 8; S. 3969 - 3974
Hauptverfasser:	Chen, S., Hanzo, L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.08.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithm Adaptive algorithms Algorithms Applied sciences Convergence Detection, estimation, filtering, equalization, prediction Dispersion Exact sciences and technology Frequency gradient-Newton adaptive algorithm Information, signal and communications theory Least squares approximation Least squares method Least squares methods Mathematical analysis Mean square error methods MIMO Modulation, demodulation Multiple-input multiple-output Neutron spin echo Quadrature amplitude modulation Signal and communications theory Signal, noise space-time equalisation stochastic-gradient adaptive algorithm Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Throughput Transmission and modulation (techniques and equipments) Vectors (mathematics) Wireless communication MIMO system Quadrature amplitude modulation Adaptive algorithm Multiple-input multiple-output Information rate space-time equalisation Space time Stochastic method Signalling Recursive algorithm Blind equalization Information transmission Mean square error Constant modulus algorithm Learning Simulation Least squares method stochastic-gradient adaptive algorithm Convergence rate Soft decision gradient-Newton adaptive algorithm Newton method Gradient method
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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