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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Beschreibung
Zusammenfassung: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 a rough initial least squares estimate of the STE's weight vector. A concurrent gradient-Newton 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 to the minimum mean square error STE solution. Simulation results confirms that the convergence speed of this semi-blind adaptive algorithm is very close to that of the training-based recursive least squares algorithm.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.090032