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Broadband MIMO beamforming for frequency selective channels using the sequential best rotation algorithm

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conference contribution
posted on 30.11.2009 by Martin Davies, Sangarapillai Lambotharan, Jonathon Chambers, John McWhirter
For a narrowband multi-input multi-output (MIMO) system the singular value decomposition has the ability to provide multiple spatial channels for data transmission. We extend this work to obtain spatial diversity techniques for frequency selective MIMO systems using a polynomial matrix decomposition known as the sequential best rotation using second order statistics (SBR2) method. This algorithm diagonalizes a MIMO frequency selective channel yielding various spatial modes for data transmission. We evaluate the diversity performance of the dominant channel provided by the SBR2 based broadband decomposition and compare it with a transmit antenna selection method (TAS) and a MIMO orthogonal frequency-division multiplexing (OFDM) singular value decomposition (SVD) based approach. Simulation results show SBR2 significantly outperforms the average bit error rate (BER) of TAS, making it very suitable for time division multiple access (TDMA) and code division multiple access (CDMA) systems. SBR2 and MIMO-OFDM systems are shown to have identical BER performance, confirming the efficiency of the proposed low delay spatial-temporal scheme.

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School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

DAVIES, M. ... et al, 2008. Broadband MIMO beamforming for frequency selective channels using the sequential best rotation algorithm. IN: Proceedings of the IEEE Vehicular Technology Conference, 2008. VTC Spring 2008, Singapore, 11-14 May, pp.1147-1151.

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2008

Notes

This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISBN

9781424416448

ISSN

1550-2252

Language

en

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