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Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels

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conference contribution
posted on 2009-11-30, 10:13 authored by Martin Davies, Sangarapillai LambotharanSangarapillai Lambotharan, Joanne Foster, Jonathon Chambers, John McWhirter
For a frequency flat multi-input multi-output (MIMO) system the QR decomposition can be applied to reduce the MIMO channel equalization problem to a set of decision feedback based single channel problems. Using a novel technique for polynomial matrix QR decomposition (PMQRD) based on Givens rotations, we show the PMQRD can do likewise for a frequency selective MIMO system. Two types of transmitter design, based on Horizontal and Vertical Bell Laboratories Layered Space Time (H-BLAST, V-BLAST) encoding have been implemented. Receiver processing utilizes Turbo equalization to exploit multipath delay spread and to facilitate multi-stream data feedback. Average bit error rate simulations show a considerable improvement over a benchmark orthogonal frequency division multiplexing (OFDM) technique. The proposed scheme thereby has potential applicability in MIMO communication applications, particularly for a TDMA system with frequency selective channels.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

DAVIES, M. ... et al, 2009. Polynomial matrix QR decomposition and iterative decoding of frequency selective MIMO channels. IN: Proceedings of Wireless Communications and Networking Conference, 2009. WCNC 2009, Budapest, 5-8 April 2009, pp. 1-6

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2009

Notes

This is a conference paper [© IEEE]. It is also available from: 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

9781424429479

ISSN

1525-3511

Language

  • en

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