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Semi-blind adaptive beamforming for high-throughput quadrature amplitude modulation systems

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Abstract

A semi-blind adaptive beamforming scheme is proposed for wireless systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, equal to the number of receiver antenna array’s elements, are first utilised to provide a rough initial least squares estimate of the beamformer’s weight vector. A concurrent constant modulus algorithm and soft decision-directed scheme is then applied to adapt the beamformer. This semi-blind adaptive beamforming scheme is capable of converging fast to the minimum mean-square-error beamforming solution, as demonstrated in our simulation study.

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Authors and Affiliations

  1. School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

    Sheng Chen, Wang Yao & Lajos Hanzo

Authors
  1. Sheng Chen
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  2. Wang Yao
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  3. Lajos Hanzo
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Corresponding author

Correspondence to Sheng Chen.

Additional information

Sheng Chen received the B.Eng. degree from Huadong Petroleum Institute, Dongying, PRC in January 1982, and the Ph.D. degree from the City University, London, UK in September 1986, both in control engineering. He was awarded the D. Sc. degree by the University of Southampton, Southampton, UK in 2005.

From October 1986 to August 1999, he held research and academic appointments at the University of Sheffield, the University of Edinburgh, and the University of Portsmouth, all in UK. Since September 1999, he has been with the School of Electronics and Computer Science, University of Southampton, Southampton, UK. He is a fellow of IET and a fellow of IEEE. In the database of the world’s most highly cited researchers, compiled by Institute for Scientific Information (ISI) of the USA, he is on the list of the highly cited researchers in the engineering category.

His research interests include wireless communications, adaptive signal processing for communications, machine learning and neural networks, finite-precision digital controller design, networked control systems, and evolutionary computation methods.

Wang Yao received the B. Sc. degree in information and computing science from Beijing University of Posts and Telecommunications (BUPT), Beijing, PRC in 2006 and the M. Sc. degree with distinction in radio frequency communication systems from the University of Southampton, Southampton, UK in 2007. He is currently working toward the Ph.D. degree with the Communications Research Group, School of Electronics and Computer Science, University of Southampton, UK.

His research interests include multiuser transmission and multiuser detection in multiple-input and multiple-output (MIMO) systems, and signal processing for communications.

Lajos Hanzo received the master degree in electronics in 1976 and his doctorate in 1983. In 2004, he was awarded the D. Sc. degree by the University Southampton, Southampton, UK.

During his 30-year career in telecommunications, he has held various research and academic posts in Hungary, Germany, and the UK. Since 1986, he has been with the School of Electronics and Computer Science, the University of Southampton, UK, where he holds the chair in telecommunications.

He has co-authored 20 JohnWiley/IEEE Press books totalling about 20000 pages on mobile radio communications, published in excess of 800 research papers, organised and chaired conference sessions, presented overview lectures and has been awarded a number of distinctions. He is an enthusiastic supporter of industrial-academic liaison. He also offers a range of industrial research overview courses. He is a fellow of the Royal Academy of Engineering (FREng), UK. He is an IEEE Distinguished Lecturer of both the Communications Society and the Vehicular Technology Society as well as a fellow of both IEEE and IEE.

His research interests include multimedia communications, wireless communications and mobile communication.

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Chen, S., Yao, W. & Hanzo, L. Semi-blind adaptive beamforming for high-throughput quadrature amplitude modulation systems. Int. J. Autom. Comput. 7, 565–570 (2010). https://doi.org/10.1007/s11633-010-0541-5

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  • DOI: https://doi.org/10.1007/s11633-010-0541-5

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